---
_id: '2912'
article_processing_charge: No
author:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Nataliya
full_name: Strelkova, Nataliya
last_name: Strelkova
citation:
ama: Edelsbrunner H, Strelkova N. On the configuration space for the shortest networks.
Russian Mathematical Surveys. 2012;67(6):1167–1168. doi:10.4213/rm9503
apa: Edelsbrunner, H., & Strelkova, N. (2012). On the configuration space for
the shortest networks. Russian Mathematical Surveys. Russian Academy of
Sciences. https://doi.org/10.4213/rm9503
chicago: Edelsbrunner, Herbert, and Nataliya Strelkova. “On the Configuration Space
for the Shortest Networks.” Russian Mathematical Surveys. Russian Academy
of Sciences, 2012. https://doi.org/10.4213/rm9503.
ieee: H. Edelsbrunner and N. Strelkova, “On the configuration space for the shortest
networks,” Russian Mathematical Surveys, vol. 67, no. 6. Russian Academy
of Sciences, pp. 1167–1168, 2012.
ista: Edelsbrunner H, Strelkova N. 2012. On the configuration space for the shortest
networks. Russian Mathematical Surveys. 67(6), 1167–1168.
mla: Edelsbrunner, Herbert, and Nataliya Strelkova. “On the Configuration Space
for the Shortest Networks.” Russian Mathematical Surveys, vol. 67, no.
6, Russian Academy of Sciences, 2012, pp. 1167–1168, doi:10.4213/rm9503.
short: H. Edelsbrunner, N. Strelkova, Russian Mathematical Surveys 67 (2012) 1167–1168.
date_created: 2018-12-11T12:00:18Z
date_published: 2012-10-01T00:00:00Z
date_updated: 2023-10-17T11:40:39Z
day: '01'
department:
- _id: HeEd
doi: 10.4213/rm9503
intvolume: ' 67'
issue: '6'
language:
- iso: eng
month: '10'
oa_version: None
page: 1167–1168
publication: Russian Mathematical Surveys
publication_status: published
publisher: Russian Academy of Sciences
publist_id: '3831'
quality_controlled: '1'
status: public
title: On the configuration space for the shortest networks
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 67
year: '2012'
...
---
_id: '2941'
article_processing_charge: No
author:
- first_name: Nikolai
full_name: Dolbilin, Nikolai
last_name: Dolbilin
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Oleg
full_name: Musin, Oleg
last_name: Musin
citation:
ama: Dolbilin N, Edelsbrunner H, Musin O. On the optimality of functionals over
triangulations of Delaunay sets. Russian Mathematical Surveys. 2012;67(4):781-783.
doi:10.1070/RM2012v067n04ABEH004807
apa: Dolbilin, N., Edelsbrunner, H., & Musin, O. (2012). On the optimality of
functionals over triangulations of Delaunay sets. Russian Mathematical Surveys.
IOP Publishing. https://doi.org/10.1070/RM2012v067n04ABEH004807
chicago: Dolbilin, Nikolai, Herbert Edelsbrunner, and Oleg Musin. “On the Optimality
of Functionals over Triangulations of Delaunay Sets.” Russian Mathematical
Surveys. IOP Publishing, 2012. https://doi.org/10.1070/RM2012v067n04ABEH004807.
ieee: N. Dolbilin, H. Edelsbrunner, and O. Musin, “On the optimality of functionals
over triangulations of Delaunay sets,” Russian Mathematical Surveys, vol.
67, no. 4. IOP Publishing, pp. 781–783, 2012.
ista: Dolbilin N, Edelsbrunner H, Musin O. 2012. On the optimality of functionals
over triangulations of Delaunay sets. Russian Mathematical Surveys. 67(4), 781–783.
mla: Dolbilin, Nikolai, et al. “On the Optimality of Functionals over Triangulations
of Delaunay Sets.” Russian Mathematical Surveys, vol. 67, no. 4, IOP Publishing,
2012, pp. 781–83, doi:10.1070/RM2012v067n04ABEH004807.
short: N. Dolbilin, H. Edelsbrunner, O. Musin, Russian Mathematical Surveys 67 (2012)
781–783.
date_created: 2018-12-11T12:00:28Z
date_published: 2012-11-01T00:00:00Z
date_updated: 2025-09-30T08:13:48Z
day: '01'
ddc:
- '510'
department:
- _id: HeEd
doi: 10.1070/RM2012v067n04ABEH004807
external_id:
isi:
- '000310789000005'
file:
- access_level: open_access
checksum: 389a5ae53d6347de36c3468034f2821d
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:49Z
date_updated: 2020-07-14T12:45:55Z
file_id: '5239'
file_name: IST-2013-132-v1+1_2012-J-04-Functional-E.pdf
file_size: 253816
relation: main_file
file_date_updated: 2020-07-14T12:45:55Z
has_accepted_license: '1'
intvolume: ' 67'
isi: 1
issue: '4'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
page: 781 - 783
publication: Russian Mathematical Surveys
publication_status: published
publisher: IOP Publishing
publist_id: '3792'
pubrep_id: '132'
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the optimality of functionals over triangulations of Delaunay sets
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 67
year: '2012'
...
---
OA_type: closed access
_id: '2971'
abstract:
- lang: eng
text: 'We study the task of interactive semantic labeling of a segmentation hierarchy.
To this end we propose a framework interleaving two components: an automatic labeling
step, based on a Conditional Random Field whose dependencies are defined by the
inclusion tree of the segmentation hierarchy, and an interaction step that integrates
incremental input from a human user. Evaluated on two distinct datasets, the proposed
interactive approach efficiently integrates human interventions and illustrates
the advantages of structured prediction in an interactive framework. '
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Georg
full_name: Zankl, Georg
last_name: Zankl
- first_name: Yll
full_name: Haxhimusa, Yll
last_name: Haxhimusa
- first_name: Adrian
full_name: Ion, Adrian
id: 29F89302-F248-11E8-B48F-1D18A9856A87
last_name: Ion
citation:
ama: 'Zankl G, Haxhimusa Y, Ion A. Interactive labeling of image segmentation hierarchies.
In: 34th DAGM and 36th OAGM Symposium. Vol 7476. Springer; 2012:11-20.
doi:10.1007/978-3-642-32717-9_2'
apa: 'Zankl, G., Haxhimusa, Y., & Ion, A. (2012). Interactive labeling of image
segmentation hierarchies. In 34th DAGM and 36th OAGM Symposium (Vol. 7476,
pp. 11–20). Graz, Austria: Springer. https://doi.org/10.1007/978-3-642-32717-9_2'
chicago: Zankl, Georg, Yll Haxhimusa, and Adrian Ion. “Interactive Labeling of Image
Segmentation Hierarchies.” In 34th DAGM and 36th OAGM Symposium, 7476:11–20.
Springer, 2012. https://doi.org/10.1007/978-3-642-32717-9_2.
ieee: G. Zankl, Y. Haxhimusa, and A. Ion, “Interactive labeling of image segmentation
hierarchies,” in 34th DAGM and 36th OAGM Symposium, Graz, Austria, 2012,
vol. 7476, pp. 11–20.
ista: Zankl G, Haxhimusa Y, Ion A. 2012. Interactive labeling of image segmentation
hierarchies. 34th DAGM and 36th OAGM Symposium. Pattern Recognition, LNCS, vol.
7476, 11–20.
mla: Zankl, Georg, et al. “Interactive Labeling of Image Segmentation Hierarchies.”
34th DAGM and 36th OAGM Symposium, vol. 7476, Springer, 2012, pp. 11–20,
doi:10.1007/978-3-642-32717-9_2.
short: G. Zankl, Y. Haxhimusa, A. Ion, in:, 34th DAGM and 36th OAGM Symposium, Springer,
2012, pp. 11–20.
conference:
end_date: 2012-08-31
location: Graz, Austria
name: Pattern Recognition
start_date: 2012-08-28
date_created: 2018-12-11T12:00:37Z
date_published: 2012-08-01T00:00:00Z
date_updated: 2025-05-20T07:21:42Z
day: '01'
department:
- _id: HeEd
doi: 10.1007/978-3-642-32717-9_2
intvolume: ' 7476'
language:
- iso: eng
month: '08'
oa_version: None
page: 11 - 20
publication: 34th DAGM and 36th OAGM Symposium
publication_identifier:
eisbn:
- '9783642327179'
eissn:
- 1611-3349
publication_status: published
publisher: Springer
publist_id: '3737'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interactive labeling of image segmentation hierarchies
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 7476
year: '2012'
...
---
_id: '3115'
abstract:
- lang: eng
text: 'We consider the offset-deconstruction problem: Given a polygonal shape Q
with n vertices, can it be expressed, up to a tolerance ε in Hausdorff distance,
as the Minkowski sum of another polygonal shape P with a disk of fixed radius?
If it does, we also seek a preferably simple-looking solution P; then, P''s offset
constitutes an accurate, vertex-reduced, and smoothened approximation of Q. We
give an O(nlogn)-time exact decision algorithm that handles any polygonal shape,
assuming the real-RAM model of computation. A variant of the algorithm, which
we have implemented using the cgal library, is based on rational arithmetic and
answers the same deconstruction problem up to an uncertainty parameter δ its running
time additionally depends on δ. If the input shape is found to be approximable,
this algorithm also computes an approximate solution for the problem. It also
allows us to solve parameter-optimization problems induced by the offset-deconstruction
problem. For convex shapes, the complexity of the exact decision algorithm drops
to O(n), which is also the time required to compute a solution P with at most
one more vertex than a vertex-minimal one.'
acknowledgement: "We thank Eyal Flato (Plataine Ltd.) for raising the offset-deconstruction
problem in connection with wood cutting. We also thank Tim Bretl (UIUC) for suggesting
the digital-pen offset-deconstruction problem. This work has been supported in part
by the Israel Science Foundation (grant no. 1102/11), by the German–Israeli Foundation
(grant no. 969/07), by the Hermann Minkowski–Minerva Center for Geometry at Tel
Aviv University, and by the EU Project under Contract No. 255827 (CGL—Computational
Geometry Learning).\r\n"
article_processing_charge: No
arxiv: 1
author:
- first_name: Eric
full_name: Berberich, Eric
last_name: Berberich
- first_name: Dan
full_name: Halperin, Dan
last_name: Halperin
- first_name: Michael
full_name: Kerber, Michael
id: 36E4574A-F248-11E8-B48F-1D18A9856A87
last_name: Kerber
orcid: 0000-0002-8030-9299
- first_name: Roza
full_name: Pogalnikova, Roza
last_name: Pogalnikova
citation:
ama: Berberich E, Halperin D, Kerber M, Pogalnikova R. Deconstructing approximate
offsets. Discrete & Computational Geometry. 2012;48(4):964-989. doi:10.1007/s00454-012-9441-5
apa: Berberich, E., Halperin, D., Kerber, M., & Pogalnikova, R. (2012). Deconstructing
approximate offsets. Discrete & Computational Geometry. Springer. https://doi.org/10.1007/s00454-012-9441-5
chicago: Berberich, Eric, Dan Halperin, Michael Kerber, and Roza Pogalnikova. “Deconstructing
Approximate Offsets.” Discrete & Computational Geometry. Springer,
2012. https://doi.org/10.1007/s00454-012-9441-5.
ieee: E. Berberich, D. Halperin, M. Kerber, and R. Pogalnikova, “Deconstructing
approximate offsets,” Discrete & Computational Geometry, vol. 48, no.
4. Springer, pp. 964–989, 2012.
ista: Berberich E, Halperin D, Kerber M, Pogalnikova R. 2012. Deconstructing approximate
offsets. Discrete & Computational Geometry. 48(4), 964–989.
mla: Berberich, Eric, et al. “Deconstructing Approximate Offsets.” Discrete &
Computational Geometry, vol. 48, no. 4, Springer, 2012, pp. 964–89, doi:10.1007/s00454-012-9441-5.
short: E. Berberich, D. Halperin, M. Kerber, R. Pogalnikova, Discrete & Computational
Geometry 48 (2012) 964–989.
corr_author: '1'
date_created: 2018-12-11T12:01:28Z
date_published: 2012-12-01T00:00:00Z
date_updated: 2025-09-30T08:01:36Z
day: '01'
department:
- _id: HeEd
doi: 10.1007/s00454-012-9441-5
external_id:
arxiv:
- '1109.2158'
isi:
- '000311503200006'
intvolume: ' 48'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1109.2158
month: '12'
oa: 1
oa_version: Preprint
page: 964 - 989
publication: Discrete & Computational Geometry
publication_status: published
publisher: Springer
publist_id: '3584'
quality_controlled: '1'
related_material:
record:
- id: '3329'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Deconstructing approximate offsets
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 48
year: '2012'
...
---
_id: '3120'
abstract:
- lang: eng
text: We introduce a strategy based on Kustin-Miller unprojection that allows us
to construct many hundreds of Gorenstein codimension 4 ideals with 9 × 16 resolutions
(that is, nine equations and sixteen first syzygies). Our two basic games are
called Tom and Jerry; the main application is the biregular construction of most
of the anticanonically polarised Mori Fano 3-folds of Altinok's thesis. There
are 115 cases whose numerical data (in effect, the Hilbert series) allow a Type
I projection. In every case, at least one Tom and one Jerry construction works,
providing at least two deformation families of quasismooth Fano 3-folds having
the same numerics but different topology. © 2012 Copyright Foundation Compositio
Mathematica.
acknowledgement: This research is supported by the Korean Government WCU Grant R33-2008-000-10101-0.
article_processing_charge: No
arxiv: 1
author:
- first_name: Gavin
full_name: Brown, Gavin
last_name: Brown
- first_name: Michael
full_name: Kerber, Michael
id: 36E4574A-F248-11E8-B48F-1D18A9856A87
last_name: Kerber
orcid: 0000-0002-8030-9299
- first_name: Miles
full_name: Reid, Miles
last_name: Reid
citation:
ama: Brown G, Kerber M, Reid M. Fano 3 folds in codimension 4 Tom and Jerry Part
I. Compositio Mathematica. 2012;148(4):1171-1194. doi:10.1112/S0010437X11007226
apa: Brown, G., Kerber, M., & Reid, M. (2012). Fano 3 folds in codimension 4
Tom and Jerry Part I. Compositio Mathematica. Cambridge University Press.
https://doi.org/10.1112/S0010437X11007226
chicago: Brown, Gavin, Michael Kerber, and Miles Reid. “Fano 3 Folds in Codimension
4 Tom and Jerry Part I.” Compositio Mathematica. Cambridge University Press,
2012. https://doi.org/10.1112/S0010437X11007226.
ieee: G. Brown, M. Kerber, and M. Reid, “Fano 3 folds in codimension 4 Tom and Jerry
Part I,” Compositio Mathematica, vol. 148, no. 4. Cambridge University
Press, pp. 1171–1194, 2012.
ista: Brown G, Kerber M, Reid M. 2012. Fano 3 folds in codimension 4 Tom and Jerry
Part I. Compositio Mathematica. 148(4), 1171–1194.
mla: Brown, Gavin, et al. “Fano 3 Folds in Codimension 4 Tom and Jerry Part I.”
Compositio Mathematica, vol. 148, no. 4, Cambridge University Press, 2012,
pp. 1171–94, doi:10.1112/S0010437X11007226.
short: G. Brown, M. Kerber, M. Reid, Compositio Mathematica 148 (2012) 1171–1194.
date_created: 2018-12-11T12:01:30Z
date_published: 2012-07-01T00:00:00Z
date_updated: 2025-09-30T07:59:55Z
day: '01'
department:
- _id: HeEd
doi: 10.1112/S0010437X11007226
external_id:
arxiv:
- '1009.4313'
isi:
- '000307176400007'
intvolume: ' 148'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1009.4313
month: '07'
oa: 1
oa_version: Preprint
page: 1171 - 1194
publication: Compositio Mathematica
publication_status: published
publisher: Cambridge University Press
publist_id: '3579'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fano 3 folds in codimension 4 Tom and Jerry Part I
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 148
year: '2012'
...
---
_id: '3127'
abstract:
- lang: eng
text: "When searching for characteristic subpatterns in potentially noisy graph
data, it appears self-evident that having multiple observations would be better
than having just one. However, it turns out that the inconsistencies introduced
when different graph instances have different edge sets pose a serious challenge.
In this work we address this challenge for the problem of finding maximum weighted
cliques.\r\n We introduce the concept of most persistent soft-clique. This
is subset of vertices, that 1) is almost fully or at least densely connected,
2) occurs in all or almost all graph instances, and 3) has the maximum weight.
We present a measure of clique-ness, that essentially counts the number of edge
missing to make a subset of vertices into a clique. With this measure, we show
that the problem of finding the most persistent soft-clique problem can be cast
either as: a) a max-min two person game optimization problem, or b) a min-min
soft margin optimization problem. Both formulations lead to the same solution
when using a partial Lagrangian method to solve the optimization problems. By
experiments on synthetic data and on real social network data, we show that the
proposed method is able to reliably find soft cliques in graph data, even if that
is distorted by random noise or unreliable observations."
article_processing_charge: No
arxiv: 1
author:
- first_name: Novi
full_name: Quadrianto, Novi
last_name: Quadrianto
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
- first_name: Chao
full_name: Chen, Chao
id: 3E92416E-F248-11E8-B48F-1D18A9856A87
last_name: Chen
citation:
ama: 'Quadrianto N, Lampert C, Chen C. The most persistent soft-clique in a set
of sampled graphs. In: Proceedings of the 29th International Conference on
Machine Learning. ML Research Press; 2012:211-218.'
apa: 'Quadrianto, N., Lampert, C., & Chen, C. (2012). The most persistent soft-clique
in a set of sampled graphs. In Proceedings of the 29th International Conference
on Machine Learning (pp. 211–218). Edinburgh, United Kingdom: ML Research
Press.'
chicago: Quadrianto, Novi, Christoph Lampert, and Chao Chen. “The Most Persistent
Soft-Clique in a Set of Sampled Graphs.” In Proceedings of the 29th International
Conference on Machine Learning, 211–18. ML Research Press, 2012.
ieee: N. Quadrianto, C. Lampert, and C. Chen, “The most persistent soft-clique in
a set of sampled graphs,” in Proceedings of the 29th International Conference
on Machine Learning, Edinburgh, United Kingdom, 2012, pp. 211–218.
ista: 'Quadrianto N, Lampert C, Chen C. 2012. The most persistent soft-clique in
a set of sampled graphs. Proceedings of the 29th International Conference on Machine
Learning. ICML: International Conference on Machine Learning, 211–218.'
mla: Quadrianto, Novi, et al. “The Most Persistent Soft-Clique in a Set of Sampled
Graphs.” Proceedings of the 29th International Conference on Machine Learning,
ML Research Press, 2012, pp. 211–18.
short: N. Quadrianto, C. Lampert, C. Chen, in:, Proceedings of the 29th International
Conference on Machine Learning, ML Research Press, 2012, pp. 211–218.
conference:
end_date: 2012-07-01
location: Edinburgh, United Kingdom
name: 'ICML: International Conference on Machine Learning'
start_date: 2012-06-26
date_created: 2018-12-11T12:01:33Z
date_published: 2012-06-01T00:00:00Z
date_updated: 2025-06-11T08:09:42Z
day: '01'
department:
- _id: ChLa
- _id: HeEd
external_id:
arxiv:
- '1206.4652'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1206.4652
month: '06'
oa: 1
oa_version: Preprint
page: 211-218
publication: Proceedings of the 29th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
publist_id: '3572'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The most persistent soft-clique in a set of sampled graphs
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2012'
...
---
_id: '3129'
abstract:
- lang: eng
text: "Let K be a simplicial complex and g the rank of its p-th homology group Hp(K)
defined with ℤ2 coefficients. We show that we can compute a basis H of Hp(K) and
annotate each p-simplex of K with a binary vector of length g with the following
property: the annotations, summed over all p-simplices in any p-cycle z, provide
the coordinate vector of the homology class [z] in the basis H. The basis and
the annotations for all simplices can be computed in O(n ω ) time, where n is
the size of K and ω < 2.376 is a quantity so that two n×n matrices can be multiplied
in O(n ω ) time. The precomputed annotations permit answering queries about the
independence or the triviality of p-cycles efficiently.\r\n\r\nUsing annotations
of edges in 2-complexes, we derive better algorithms for computing optimal basis
and optimal homologous cycles in 1 - dimensional homology. Specifically, for computing
an optimal basis of H1(K) , we improve the previously known time complexity from
O(n 4) to O(n ω + n 2 g ω − 1). Here n denotes the size of the 2-skeleton of
K and g the rank of H1(K) . Computing an optimal cycle homologous to a given 1-cycle
is NP-hard even for surfaces and an algorithm taking 2 O(g) nlogn time is known
for surfaces. We extend this algorithm to work with arbitrary 2-complexes in O(n
ω ) + 2 O(g) n 2logn time using annotations.\r\n"
acknowledgement: Research was partially supported by the Slovenian Research Agency,
program P1-0297 and NSF grant CCF 1064416.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Oleksiy
full_name: Busaryev, Oleksiy
last_name: Busaryev
- first_name: Sergio
full_name: Cabello, Sergio
last_name: Cabello
- first_name: Chao
full_name: Chen, Chao
id: 3E92416E-F248-11E8-B48F-1D18A9856A87
last_name: Chen
- first_name: Tamal
full_name: Dey, Tamal
last_name: Dey
- first_name: Yusu
full_name: Wang, Yusu
last_name: Wang
citation:
ama: 'Busaryev O, Cabello S, Chen C, Dey T, Wang Y. Annotating simplices with a
homology basis and its applications. In: Vol 7357. Springer; 2012:189-200. doi:10.1007/978-3-642-31155-0_17'
apa: 'Busaryev, O., Cabello, S., Chen, C., Dey, T., & Wang, Y. (2012). Annotating
simplices with a homology basis and its applications (Vol. 7357, pp. 189–200).
Presented at the SWAT: Symposium and Workshops on Algorithm Theory, Helsinki,
Finland: Springer. https://doi.org/10.1007/978-3-642-31155-0_17'
chicago: Busaryev, Oleksiy, Sergio Cabello, Chao Chen, Tamal Dey, and Yusu Wang.
“Annotating Simplices with a Homology Basis and Its Applications,” 7357:189–200.
Springer, 2012. https://doi.org/10.1007/978-3-642-31155-0_17.
ieee: 'O. Busaryev, S. Cabello, C. Chen, T. Dey, and Y. Wang, “Annotating simplices
with a homology basis and its applications,” presented at the SWAT: Symposium
and Workshops on Algorithm Theory, Helsinki, Finland, 2012, vol. 7357, pp. 189–200.'
ista: 'Busaryev O, Cabello S, Chen C, Dey T, Wang Y. 2012. Annotating simplices
with a homology basis and its applications. SWAT: Symposium and Workshops on Algorithm
Theory, LNCS, vol. 7357, 189–200.'
mla: Busaryev, Oleksiy, et al. Annotating Simplices with a Homology Basis and
Its Applications. Vol. 7357, Springer, 2012, pp. 189–200, doi:10.1007/978-3-642-31155-0_17.
short: O. Busaryev, S. Cabello, C. Chen, T. Dey, Y. Wang, in:, Springer, 2012, pp.
189–200.
conference:
end_date: 2012-07-06
location: Helsinki, Finland
name: 'SWAT: Symposium and Workshops on Algorithm Theory'
start_date: 2012-07-04
date_created: 2018-12-11T12:01:33Z
date_published: 2012-06-19T00:00:00Z
date_updated: 2025-06-26T08:59:21Z
day: '19'
department:
- _id: HeEd
doi: 10.1007/978-3-642-31155-0_17
external_id:
arxiv:
- '1107.3793'
intvolume: ' 7357'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1107.3793
month: '06'
oa: 1
oa_version: Preprint
page: 189 - 200
publication_status: published
publisher: Springer
publist_id: '3569'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Annotating simplices with a homology basis and its applications
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 7357
year: '2012'
...
---
_id: '3133'
abstract:
- lang: eng
text: 'This note contributes to the point calculus of persistent homology by extending
Alexander duality from spaces to real-valued functions. Given a perfect Morse
function f: S n+1 →[0, 1 and a decomposition S n+1 = U ∪ V into two (n + 1)-manifolds
with common boundary M, we prove elementary relationships between the persistence
diagrams of f restricted to U, to V, and to M. '
acknowledgement: "his research is partially supported by the National Science Foundation
(NSF) under grant DBI-0820624, the European Science Foundation under the Research
Networking Programme, and the Russian Government Project 11.G34.31.0053.\r\nThe
authors thank an anonymous referee for suggesting the simplified proof of the Contravariant
PE Theorem given in this paper. They also thank Frederick Cohen, Yuriy Mileyko and
Amit Patel for helpful discussions."
article_processing_charge: No
arxiv: 1
author:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Michael
full_name: Kerber, Michael
id: 36E4574A-F248-11E8-B48F-1D18A9856A87
last_name: Kerber
orcid: 0000-0002-8030-9299
citation:
ama: 'Edelsbrunner H, Kerber M. Alexander duality for functions: The persistent
behavior of land and water and shore. In: Proceedings of the Twenty-Eighth
Annual Symposium on Computational Geometry . ACM; 2012:249-258. doi:10.1145/2261250.2261287'
apa: 'Edelsbrunner, H., & Kerber, M. (2012). Alexander duality for functions:
The persistent behavior of land and water and shore. In Proceedings of the
twenty-eighth annual symposium on Computational geometry (pp. 249–258). Chapel
Hill, NC, USA: ACM. https://doi.org/10.1145/2261250.2261287'
chicago: 'Edelsbrunner, Herbert, and Michael Kerber. “Alexander Duality for Functions:
The Persistent Behavior of Land and Water and Shore.” In Proceedings of the
Twenty-Eighth Annual Symposium on Computational Geometry , 249–58. ACM, 2012.
https://doi.org/10.1145/2261250.2261287.'
ieee: 'H. Edelsbrunner and M. Kerber, “Alexander duality for functions: The persistent
behavior of land and water and shore,” in Proceedings of the twenty-eighth
annual symposium on Computational geometry , Chapel Hill, NC, USA, 2012, pp.
249–258.'
ista: 'Edelsbrunner H, Kerber M. 2012. Alexander duality for functions: The persistent
behavior of land and water and shore. Proceedings of the twenty-eighth annual
symposium on Computational geometry . SCG: Symposium on Computational Geometry,
249–258.'
mla: 'Edelsbrunner, Herbert, and Michael Kerber. “Alexander Duality for Functions:
The Persistent Behavior of Land and Water and Shore.” Proceedings of the Twenty-Eighth
Annual Symposium on Computational Geometry , ACM, 2012, pp. 249–58, doi:10.1145/2261250.2261287.'
short: H. Edelsbrunner, M. Kerber, in:, Proceedings of the Twenty-Eighth Annual
Symposium on Computational Geometry , ACM, 2012, pp. 249–258.
conference:
end_date: 2012-06-20
location: Chapel Hill, NC, USA
name: 'SCG: Symposium on Computational Geometry'
start_date: 2012-06-17
corr_author: '1'
date_created: 2018-12-11T12:01:35Z
date_published: 2012-06-20T00:00:00Z
date_updated: 2025-06-11T08:10:04Z
day: '20'
department:
- _id: HeEd
doi: 10.1145/2261250.2261287
external_id:
arxiv:
- '1109.5052'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1109.5052
month: '06'
oa: 1
oa_version: Preprint
page: 249 - 258
publication: 'Proceedings of the twenty-eighth annual symposium on Computational geometry '
publication_status: published
publisher: ACM
publist_id: '3564'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Alexander duality for functions: The persistent behavior of land and water
and shore'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2012'
...
---
_id: '3134'
abstract:
- lang: eng
text: 'It has been an open question whether the sum of finitely many isotropic Gaussian
kernels in n ≥ 2 dimensions can have more modes than kernels, until in 2003 Carreira-Perpiñán
and Williams exhibited n +1 isotropic Gaussian kernels in ℝ n with n + 2 modes.
We give a detailed analysis of this example, showing that it has exponentially
many critical points and that the resilience of the extra mode grows like √n.
In addition, we exhibit finite configurations of isotropic Gaussian kernels with
superlinearly many modes. '
acknowledgement: This research is partially supported by the National Science Foun-
dation (NSF) under grant DBI-0820624, by the European Science Foundation under the
Research Networking Programme, and the Russian Government Project 11.G34.31.0053.
author:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Brittany
full_name: Fasy, Brittany
last_name: Fasy
- first_name: Günter
full_name: Rote, Günter
last_name: Rote
citation:
ama: 'Edelsbrunner H, Fasy B, Rote G. Add isotropic Gaussian kernels at own risk:
More and more resilient modes in higher dimensions. In: Proceedings of the
Twenty-Eighth Annual Symposium on Computational Geometry . ACM; 2012:91-100.
doi:10.1145/2261250.2261265'
apa: 'Edelsbrunner, H., Fasy, B., & Rote, G. (2012). Add isotropic Gaussian
kernels at own risk: More and more resilient modes in higher dimensions. In Proceedings
of the twenty-eighth annual symposium on Computational geometry (pp. 91–100).
Chapel Hill, NC, USA: ACM. https://doi.org/10.1145/2261250.2261265'
chicago: 'Edelsbrunner, Herbert, Brittany Fasy, and Günter Rote. “Add Isotropic
Gaussian Kernels at Own Risk: More and More Resilient Modes in Higher Dimensions.”
In Proceedings of the Twenty-Eighth Annual Symposium on Computational Geometry
, 91–100. ACM, 2012. https://doi.org/10.1145/2261250.2261265.'
ieee: 'H. Edelsbrunner, B. Fasy, and G. Rote, “Add isotropic Gaussian kernels at
own risk: More and more resilient modes in higher dimensions,” in Proceedings
of the twenty-eighth annual symposium on Computational geometry , Chapel Hill,
NC, USA, 2012, pp. 91–100.'
ista: 'Edelsbrunner H, Fasy B, Rote G. 2012. Add isotropic Gaussian kernels at own
risk: More and more resilient modes in higher dimensions. Proceedings of the twenty-eighth
annual symposium on Computational geometry . SCG: Symposium on Computational Geometry,
91–100.'
mla: 'Edelsbrunner, Herbert, et al. “Add Isotropic Gaussian Kernels at Own Risk:
More and More Resilient Modes in Higher Dimensions.” Proceedings of the Twenty-Eighth
Annual Symposium on Computational Geometry , ACM, 2012, pp. 91–100, doi:10.1145/2261250.2261265.'
short: H. Edelsbrunner, B. Fasy, G. Rote, in:, Proceedings of the Twenty-Eighth
Annual Symposium on Computational Geometry , ACM, 2012, pp. 91–100.
conference:
end_date: 2012-06-20
location: Chapel Hill, NC, USA
name: 'SCG: Symposium on Computational Geometry'
start_date: 2012-06-17
date_created: 2018-12-11T12:01:35Z
date_published: 2012-06-20T00:00:00Z
date_updated: 2025-09-29T14:02:00Z
day: '20'
department:
- _id: HeEd
doi: 10.1145/2261250.2261265
language:
- iso: eng
month: '06'
oa_version: None
page: 91 - 100
publication: 'Proceedings of the twenty-eighth annual symposium on Computational geometry '
publication_status: published
publisher: ACM
publist_id: '3563'
quality_controlled: '1'
related_material:
record:
- id: '2815'
relation: later_version
status: public
scopus_import: 1
status: public
title: 'Add isotropic Gaussian kernels at own risk: More and more resilient modes
in higher dimensions'
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2012'
...
---
_id: '3159'
abstract:
- lang: eng
text: The structure of hierarchical networks in biological and physical systems
has long been characterized using the Horton-Strahler ordering scheme. The scheme
assigns an integer order to each edge in the network based on the topology of
branching such that the order increases from distal parts of the network (e.g.,
mountain streams or capillaries) to the "root" of the network (e.g.,
the river outlet or the aorta). However, Horton-Strahler ordering cannot be applied
to networks with loops because they they create a contradiction in the edge ordering
in terms of which edge precedes another in the hierarchy. Here, we present a generalization
of the Horton-Strahler order to weighted planar reticular networks, where weights
are assumed to correlate with the importance of network edges, e.g., weights estimated
from edge widths may correlate to flow capacity. Our method assigns hierarchical
levels not only to edges of the network, but also to its loops, and classifies
the edges into reticular edges, which are responsible for loop formation, and
tree edges. In addition, we perform a detailed and rigorous theoretical analysis
of the sensitivity of the hierarchical levels to weight perturbations. In doing
so, we show that the ordering of the reticular edges is more robust to noise in
weight estimation than is the ordering of the tree edges. We discuss applications
of this generalized Horton-Strahler ordering to the study of leaf venation and
other biological networks.
acknowledgement: "his work was supported by the National Science Foundation Plant
Genome Research Program (grant 0820624 to H.E. and J.S.W.), the Defense Advanced
Projects Research Agency (grant HR0011-09-1-0055 to H.E. and J.S.W.), and the European
Science Foundation (under the Research Networking Programme on “Applied and Computational
Algebraic Topology” run by H.E.). Joshua S. Weitz, Ph.D., holds a Career Award at
the Scientific Interface from the Burroughs Wellcome Fund.\r\n\r\n\r\n\r\nDuring
preparation of this manuscript the authors became aware of a related work by Katifori
and Magnasco (arXiv:1110.1412v1), concurrently submitted and accepted for publication
in PLoS ONE."
article_number: e36715
article_processing_charge: No
author:
- first_name: Yuriy
full_name: Mileyko, Yuriy
last_name: Mileyko
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Charles
full_name: Price, Charles
last_name: Price
- first_name: Joshua
full_name: Weitz, Joshua
last_name: Weitz
citation:
ama: Mileyko Y, Edelsbrunner H, Price C, Weitz J. Hierarchical ordering of reticular
networks. PLoS One. 2012;7(6). doi:10.1371/journal.pone.0036715
apa: Mileyko, Y., Edelsbrunner, H., Price, C., & Weitz, J. (2012). Hierarchical
ordering of reticular networks. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0036715
chicago: Mileyko, Yuriy, Herbert Edelsbrunner, Charles Price, and Joshua Weitz.
“Hierarchical Ordering of Reticular Networks.” PLoS One. Public Library
of Science, 2012. https://doi.org/10.1371/journal.pone.0036715.
ieee: Y. Mileyko, H. Edelsbrunner, C. Price, and J. Weitz, “Hierarchical ordering
of reticular networks,” PLoS One, vol. 7, no. 6. Public Library of Science,
2012.
ista: Mileyko Y, Edelsbrunner H, Price C, Weitz J. 2012. Hierarchical ordering of
reticular networks. PLoS One. 7(6), e36715.
mla: Mileyko, Yuriy, et al. “Hierarchical Ordering of Reticular Networks.” PLoS
One, vol. 7, no. 6, e36715, Public Library of Science, 2012, doi:10.1371/journal.pone.0036715.
short: Y. Mileyko, H. Edelsbrunner, C. Price, J. Weitz, PLoS One 7 (2012).
date_created: 2018-12-11T12:01:44Z
date_published: 2012-06-06T00:00:00Z
date_updated: 2025-09-30T07:53:26Z
day: '06'
ddc:
- '510'
department:
- _id: HeEd
doi: 10.1371/journal.pone.0036715
external_id:
isi:
- '000305348400006'
file:
- access_level: open_access
checksum: 515a98ad72e470752f03f13663dcaff8
content_type: application/pdf
creator: kschuh
date_created: 2019-02-05T12:38:43Z
date_updated: 2020-07-14T12:46:01Z
file_id: '5922'
file_name: 2012_PLoS_Mileyko.PDF
file_size: 541583
relation: main_file
file_date_updated: 2020-07-14T12:46:01Z
has_accepted_license: '1'
intvolume: ' 7'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '3530'
pubrep_id: '385'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Hierarchical ordering of reticular networks
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 7
year: '2012'
...
---
_id: '3256'
abstract:
- lang: eng
text: We use a distortion to define the dual complex of a cubical subdivision of
ℝ n as an n-dimensional subcomplex of the nerve of the set of n-cubes. Motivated
by the topological analysis of high-dimensional digital image data, we consider
such subdivisions defined by generalizations of quad- and oct-trees to n dimensions.
Assuming the subdivision is balanced, we show that mapping each vertex to the
center of the corresponding n-cube gives a geometric realization of the dual complex
in ℝ n.
acknowledgement: This research is partially supported by the Defense Advanced Research
Projects Agency (DARPA) under grants HR0011-05-1-0057 and HR0011-09-0065 as well
as the National Science Foundation (NSF) under grant DBI-0820624.
article_processing_charge: No
author:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Michael
full_name: Kerber, Michael
id: 36E4574A-F248-11E8-B48F-1D18A9856A87
last_name: Kerber
orcid: 0000-0002-8030-9299
citation:
ama: Edelsbrunner H, Kerber M. Dual complexes of cubical subdivisions of ℝn. Discrete
& Computational Geometry. 2012;47(2):393-414. doi:10.1007/s00454-011-9382-4
apa: Edelsbrunner, H., & Kerber, M. (2012). Dual complexes of cubical subdivisions
of ℝn. Discrete & Computational Geometry. Springer. https://doi.org/10.1007/s00454-011-9382-4
chicago: Edelsbrunner, Herbert, and Michael Kerber. “Dual Complexes of Cubical Subdivisions
of ℝn.” Discrete & Computational Geometry. Springer, 2012. https://doi.org/10.1007/s00454-011-9382-4.
ieee: H. Edelsbrunner and M. Kerber, “Dual complexes of cubical subdivisions of
ℝn,” Discrete & Computational Geometry, vol. 47, no. 2. Springer, pp.
393–414, 2012.
ista: Edelsbrunner H, Kerber M. 2012. Dual complexes of cubical subdivisions of
ℝn. Discrete & Computational Geometry. 47(2), 393–414.
mla: Edelsbrunner, Herbert, and Michael Kerber. “Dual Complexes of Cubical Subdivisions
of ℝn.” Discrete & Computational Geometry, vol. 47, no. 2, Springer,
2012, pp. 393–414, doi:10.1007/s00454-011-9382-4.
short: H. Edelsbrunner, M. Kerber, Discrete & Computational Geometry 47 (2012)
393–414.
corr_author: '1'
date_created: 2018-12-11T12:02:17Z
date_published: 2012-03-01T00:00:00Z
date_updated: 2025-09-30T07:43:46Z
day: '01'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1007/s00454-011-9382-4
external_id:
isi:
- '000299057200010'
file:
- access_level: open_access
checksum: 76486f3b2c9e7fd81342f3832ca387e7
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:15Z
date_updated: 2020-07-14T12:46:05Z
file_id: '4675'
file_name: IST-2016-543-v1+1_2012-J-08-HierarchyCubeComplex.pdf
file_size: 203636
relation: main_file
file_date_updated: 2020-07-14T12:46:05Z
has_accepted_license: '1'
intvolume: ' 47'
isi: 1
issue: '2'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
page: 393 - 414
publication: Discrete & Computational Geometry
publication_status: published
publisher: Springer
publist_id: '3398'
pubrep_id: '543'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dual complexes of cubical subdivisions of ℝn
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 47
year: '2012'
...
---
_id: '3265'
abstract:
- lang: eng
text: We propose a mid-level statistical model for image segmentation that composes
multiple figure-ground hypotheses (FG) obtained by applying constraints at different
locations and scales, into larger interpretations (tilings) of the entire image.
Inference is cast as optimization over sets of maximal cliques sampled from a
graph connecting all non-overlapping figure-ground segment hypotheses. Potential
functions over cliques combine unary, Gestalt-based figure qualities, and pairwise
compatibilities among spatially neighboring segments, constrained by T-junctions
and the boundary interface statistics of real scenes. Learning the model parameters
is based on maximum likelihood, alternating between sampling image tilings and
optimizing their potential function parameters. State of the art results are reported
on the Berkeley and Stanford segmentation datasets, as well as VOC2009, where
a 28% improvement was achieved.
article_number: '6126486'
author:
- first_name: Adrian
full_name: Ion, Adrian
id: 29F89302-F248-11E8-B48F-1D18A9856A87
last_name: Ion
- first_name: Joao
full_name: Carreira, Joao
last_name: Carreira
- first_name: Cristian
full_name: Sminchisescu, Cristian
last_name: Sminchisescu
citation:
ama: 'Ion A, Carreira J, Sminchisescu C. Image segmentation by figure-ground composition
into maximal cliques. In: IEEE; 2012. doi:10.1109/ICCV.2011.6126486'
apa: 'Ion, A., Carreira, J., & Sminchisescu, C. (2012). Image segmentation by
figure-ground composition into maximal cliques. Presented at the ICCV: International
Conference on Computer Vision, Barcelona, Spain: IEEE. https://doi.org/10.1109/ICCV.2011.6126486'
chicago: Ion, Adrian, Joao Carreira, and Cristian Sminchisescu. “Image Segmentation
by Figure-Ground Composition into Maximal Cliques.” IEEE, 2012. https://doi.org/10.1109/ICCV.2011.6126486.
ieee: 'A. Ion, J. Carreira, and C. Sminchisescu, “Image segmentation by figure-ground
composition into maximal cliques,” presented at the ICCV: International Conference
on Computer Vision, Barcelona, Spain, 2012.'
ista: 'Ion A, Carreira J, Sminchisescu C. 2012. Image segmentation by figure-ground
composition into maximal cliques. ICCV: International Conference on Computer Vision,
6126486.'
mla: Ion, Adrian, et al. Image Segmentation by Figure-Ground Composition into
Maximal Cliques. 6126486, IEEE, 2012, doi:10.1109/ICCV.2011.6126486.
short: A. Ion, J. Carreira, C. Sminchisescu, in:, IEEE, 2012.
conference:
end_date: 2011-11-13
location: Barcelona, Spain
name: 'ICCV: International Conference on Computer Vision'
start_date: 2011-11-06
date_created: 2018-12-11T12:02:21Z
date_published: 2012-01-12T00:00:00Z
date_updated: 2021-01-12T07:42:15Z
day: '12'
department:
- _id: HeEd
doi: 10.1109/ICCV.2011.6126486
language:
- iso: eng
month: '01'
oa_version: None
publication_status: published
publisher: IEEE
publist_id: '3382'
quality_controlled: '1'
status: public
title: Image segmentation by figure-ground composition into maximal cliques
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2012'
...
---
_id: '3310'
abstract:
- lang: eng
text: The theory of persistent homology opens up the possibility to reason about
topological features of a space or a function quantitatively and in combinatorial
terms. We refer to this new angle at a classical subject within algebraic topology
as a point calculus, which we present for the family of interlevel sets of a real-valued
function. Our account of the subject is expository, devoid of proofs, and written
for non-experts in algebraic topology.
acknowledgement: Research by the third author is partially supported by the National
Science Foundation (NSF) under grant DBI-0820624.
article_processing_charge: No
author:
- first_name: Paul
full_name: Bendich, Paul
id: 43F6EC54-F248-11E8-B48F-1D18A9856A87
last_name: Bendich
- first_name: Sergio
full_name: Cabello, Sergio
last_name: Cabello
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
citation:
ama: Bendich P, Cabello S, Edelsbrunner H. A point calculus for interlevel set homology.
Pattern Recognition Letters. 2012;33(11):1436-1444. doi:10.1016/j.patrec.2011.10.007
apa: Bendich, P., Cabello, S., & Edelsbrunner, H. (2012). A point calculus for
interlevel set homology. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2011.10.007
chicago: Bendich, Paul, Sergio Cabello, and Herbert Edelsbrunner. “A Point Calculus
for Interlevel Set Homology.” Pattern Recognition Letters. Elsevier, 2012.
https://doi.org/10.1016/j.patrec.2011.10.007.
ieee: P. Bendich, S. Cabello, and H. Edelsbrunner, “A point calculus for interlevel
set homology,” Pattern Recognition Letters, vol. 33, no. 11. Elsevier,
pp. 1436–1444, 2012.
ista: Bendich P, Cabello S, Edelsbrunner H. 2012. A point calculus for interlevel
set homology. Pattern Recognition Letters. 33(11), 1436–1444.
mla: Bendich, Paul, et al. “A Point Calculus for Interlevel Set Homology.” Pattern
Recognition Letters, vol. 33, no. 11, Elsevier, 2012, pp. 1436–44, doi:10.1016/j.patrec.2011.10.007.
short: P. Bendich, S. Cabello, H. Edelsbrunner, Pattern Recognition Letters 33 (2012)
1436–1444.
date_created: 2018-12-11T12:02:36Z
date_published: 2012-08-01T00:00:00Z
date_updated: 2025-09-30T07:39:47Z
day: '01'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1016/j.patrec.2011.10.007
external_id:
isi:
- '000307204300002'
file:
- access_level: open_access
checksum: d65f79775b51258a604ca5ec741297cc
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:00Z
date_updated: 2020-07-14T12:46:06Z
file_id: '5116'
file_name: IST-2016-542-v1+1_2012-J-01-Poinculus.pdf
file_size: 280280
relation: main_file
file_date_updated: 2020-07-14T12:46:06Z
has_accepted_license: '1'
intvolume: ' 33'
isi: 1
issue: '11'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Submitted Version
page: 1436 - 1444
publication: Pattern Recognition Letters
publication_status: published
publisher: Elsevier
publist_id: '3330'
pubrep_id: '542'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A point calculus for interlevel set homology
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 33
year: '2012'
...
---
_id: '3331'
abstract:
- lang: eng
text: Computing the topology of an algebraic plane curve C means computing a combinatorial
graph that is isotopic to C and thus represents its topology in R2. We prove that,
for a polynomial of degree n with integer coefficients bounded by 2ρ, the topology
of the induced curve can be computed with bit operations ( indicates that we
omit logarithmic factors). Our analysis improves the previous best known complexity
bounds by a factor of n2. The improvement is based on new techniques to compute
and refine isolating intervals for the real roots of polynomials, and on the consequent
amortized analysis of the critical fibers of the algebraic curve.
article_processing_charge: No
arxiv: 1
author:
- first_name: Michael
full_name: Kerber, Michael
id: 36E4574A-F248-11E8-B48F-1D18A9856A87
last_name: Kerber
orcid: 0000-0002-8030-9299
- first_name: Michael
full_name: Sagraloff, Michael
last_name: Sagraloff
citation:
ama: Kerber M, Sagraloff M. A worst case bound for topology computation of algebraic
curves. Journal of Symbolic Computation. 2012;47(3):239-258. doi:10.1016/j.jsc.2011.11.001
apa: Kerber, M., & Sagraloff, M. (2012). A worst case bound for topology computation
of algebraic curves. Journal of Symbolic Computation. Elsevier. https://doi.org/10.1016/j.jsc.2011.11.001
chicago: Kerber, Michael, and Michael Sagraloff. “A Worst Case Bound for Topology
Computation of Algebraic Curves.” Journal of Symbolic Computation. Elsevier,
2012. https://doi.org/10.1016/j.jsc.2011.11.001.
ieee: M. Kerber and M. Sagraloff, “A worst case bound for topology computation of
algebraic curves,” Journal of Symbolic Computation, vol. 47, no. 3. Elsevier,
pp. 239–258, 2012.
ista: Kerber M, Sagraloff M. 2012. A worst case bound for topology computation of
algebraic curves. Journal of Symbolic Computation. 47(3), 239–258.
mla: Kerber, Michael, and Michael Sagraloff. “A Worst Case Bound for Topology Computation
of Algebraic Curves.” Journal of Symbolic Computation, vol. 47, no. 3,
Elsevier, 2012, pp. 239–58, doi:10.1016/j.jsc.2011.11.001.
short: M. Kerber, M. Sagraloff, Journal of Symbolic Computation 47 (2012) 239–258.
corr_author: '1'
date_created: 2018-12-11T12:02:43Z
date_published: 2012-03-01T00:00:00Z
date_updated: 2025-09-30T07:33:48Z
day: '01'
department:
- _id: HeEd
doi: 10.1016/j.jsc.2011.11.001
external_id:
arxiv:
- '1104.1510'
isi:
- '000300115300002'
intvolume: ' 47'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1104.1510
month: '03'
oa: 1
oa_version: Preprint
page: 239 - 258
publication: ' Journal of Symbolic Computation'
publication_status: published
publisher: Elsevier
publist_id: '3303'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A worst case bound for topology computation of algebraic curves
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 47
year: '2012'
...
---
OA_place: publisher
_id: '6588'
abstract:
- lang: eng
text: First we note that the best polynomial approximation to vertical bar x vertical
bar on the set, which consists of an interval on the positive half-axis and a
point on the negative half-axis, can be given by means of the classical Chebyshev
polynomials. Then we explore the cases when a solution of the related problem
on two intervals can be given in elementary functions.
acknowledgement: "This work is supported by the Austrian Science Fund (FWF), Project
P22025-N18.\r\n"
article_processing_charge: No
article_type: original
author:
- first_name: Florian
full_name: Pausinger, Florian
id: 2A77D7A2-F248-11E8-B48F-1D18A9856A87
last_name: Pausinger
orcid: 0000-0002-8379-3768
citation:
ama: Pausinger F. Elementary solutions of the Bernstein problem on two intervals.
Journal of Mathematical Physics, Analysis, Geometry. 2012;8(1):63-78.
apa: Pausinger, F. (2012). Elementary solutions of the Bernstein problem on two
intervals. Journal of Mathematical Physics, Analysis, Geometry. B. Verkin
Institute for Low Temperature Physics and Engineering.
chicago: Pausinger, Florian. “Elementary Solutions of the Bernstein Problem on Two
Intervals.” Journal of Mathematical Physics, Analysis, Geometry. B. Verkin
Institute for Low Temperature Physics and Engineering, 2012.
ieee: F. Pausinger, “Elementary solutions of the Bernstein problem on two intervals,”
Journal of Mathematical Physics, Analysis, Geometry, vol. 8, no. 1. B.
Verkin Institute for Low Temperature Physics and Engineering, pp. 63–78, 2012.
ista: Pausinger F. 2012. Elementary solutions of the Bernstein problem on two intervals.
Journal of Mathematical Physics, Analysis, Geometry. 8(1), 63–78.
mla: Pausinger, Florian. “Elementary Solutions of the Bernstein Problem on Two Intervals.”
Journal of Mathematical Physics, Analysis, Geometry, vol. 8, no. 1, B.
Verkin Institute for Low Temperature Physics and Engineering, 2012, pp. 63–78.
short: F. Pausinger, Journal of Mathematical Physics, Analysis, Geometry 8 (2012)
63–78.
corr_author: '1'
date_created: 2019-06-27T08:16:56Z
date_published: 2012-01-01T00:00:00Z
date_updated: 2025-06-26T12:10:42Z
day: '01'
department:
- _id: HeEd
external_id:
isi:
- '000301173600004'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mathnet.ru/eng/jmag525
month: '01'
oa: 1
oa_version: Published Version
page: 63-78
publication: Journal of Mathematical Physics, Analysis, Geometry
publication_identifier:
issn:
- 1812-9471
publication_status: published
publisher: B. Verkin Institute for Low Temperature Physics and Engineering
quality_controlled: '1'
scopus_import: '1'
status: public
title: Elementary solutions of the Bernstein problem on two intervals
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2012'
...
---
_id: '3266'
abstract:
- lang: eng
text: We present a joint image segmentation and labeling model (JSL) which, given
a bag of figure-ground segment hypotheses extracted at multiple image locations
and scales, constructs a joint probability distribution over both the compatible
image interpretations (tilings or image segmentations) composed from those segments,
and over their labeling into categories. The process of drawing samples from the
joint distribution can be interpreted as first sampling tilings, modeled as maximal
cliques, from a graph connecting spatially non-overlapping segments in the bag
[1], followed by sampling labels for those segments, conditioned on the choice
of a particular tiling. We learn the segmentation and labeling parameters jointly,
based on Maximum Likelihood with a novel Incremental Saddle Point estimation procedure.
The partition function over tilings and labelings is increasingly more accurately
approximated by including incorrect configurations that a not-yet-competent model
rates probable during learning. We show that the proposed methodologymatches the
current state of the art in the Stanford dataset [2], as well as in VOC2010, where
41.7% accuracy on the test set is achieved.
author:
- first_name: Adrian
full_name: Ion, Adrian
id: 29F89302-F248-11E8-B48F-1D18A9856A87
last_name: Ion
- first_name: Joao
full_name: Carreira, Joao
last_name: Carreira
- first_name: Cristian
full_name: Sminchisescu, Cristian
last_name: Sminchisescu
citation:
ama: 'Ion A, Carreira J, Sminchisescu C. Probabilistic joint image segmentation
and labeling. In: NIPS Proceedings. Vol 24. Neural Information Processing
Systems Foundation; 2011:1827-1835.'
apa: 'Ion, A., Carreira, J., & Sminchisescu, C. (2011). Probabilistic joint
image segmentation and labeling. In NIPS Proceedings (Vol. 24, pp. 1827–1835).
Granada, Spain: Neural Information Processing Systems Foundation.'
chicago: Ion, Adrian, Joao Carreira, and Cristian Sminchisescu. “Probabilistic Joint
Image Segmentation and Labeling.” In NIPS Proceedings, 24:1827–35. Neural
Information Processing Systems Foundation, 2011.
ieee: A. Ion, J. Carreira, and C. Sminchisescu, “Probabilistic joint image segmentation
and labeling,” in NIPS Proceedings, Granada, Spain, 2011, vol. 24, pp.
1827–1835.
ista: 'Ion A, Carreira J, Sminchisescu C. 2011. Probabilistic joint image segmentation
and labeling. NIPS Proceedings. NIPS: Neural Information Processing Systems vol.
24, 1827–1835.'
mla: Ion, Adrian, et al. “Probabilistic Joint Image Segmentation and Labeling.”
NIPS Proceedings, vol. 24, Neural Information Processing Systems Foundation,
2011, pp. 1827–35.
short: A. Ion, J. Carreira, C. Sminchisescu, in:, NIPS Proceedings, Neural Information
Processing Systems Foundation, 2011, pp. 1827–1835.
conference:
end_date: 2011-12-14
location: Granada, Spain
name: 'NIPS: Neural Information Processing Systems'
start_date: 2011-12-12
date_created: 2018-12-11T12:02:21Z
date_published: 2011-12-01T00:00:00Z
date_updated: 2021-01-12T07:42:15Z
day: '01'
department:
- _id: HeEd
intvolume: ' 24'
language:
- iso: eng
month: '12'
oa_version: None
page: 1827 - 1835
publication: NIPS Proceedings
publication_status: published
publisher: Neural Information Processing Systems Foundation
publist_id: '3381'
quality_controlled: '1'
scopus_import: 1
status: public
title: Probabilistic joint image segmentation and labeling
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2011'
...
---
_id: '3267'
abstract:
- lang: eng
text: 'We address the problem of localizing homology classes, namely, finding the
cycle representing a given class with the most concise geometric measure. We study
the problem with different measures: volume, diameter and radius. For volume,
that is, the 1-norm of a cycle, two main results are presented. First, we prove
that the problem is NP-hard to approximate within any constant factor. Second,
we prove that for homology of dimension two or higher, the problem is NP-hard
to approximate even when the Betti number is O(1). The latter result leads to
the inapproximability of the problem of computing the nonbounding cycle with the
smallest volume and computing cycles representing a homology basis with the minimal
total volume. As for the other two measures defined by pairwise geodesic distance,
diameter and radius, we show that the localization problem is NP-hard for diameter
but is polynomial for radius. Our work is restricted to homology over the ℤ2 field.'
article_processing_charge: No
author:
- first_name: Chao
full_name: Chen, Chao
id: 3E92416E-F248-11E8-B48F-1D18A9856A87
last_name: Chen
- first_name: Daniel
full_name: Freedman, Daniel
last_name: Freedman
citation:
ama: Chen C, Freedman D. Hardness results for homology localization. Discrete
& Computational Geometry. 2011;45(3):425-448. doi:10.1007/s00454-010-9322-8
apa: Chen, C., & Freedman, D. (2011). Hardness results for homology localization.
Discrete & Computational Geometry. Springer. https://doi.org/10.1007/s00454-010-9322-8
chicago: Chen, Chao, and Daniel Freedman. “Hardness Results for Homology Localization.”
Discrete & Computational Geometry. Springer, 2011. https://doi.org/10.1007/s00454-010-9322-8.
ieee: C. Chen and D. Freedman, “Hardness results for homology localization,” Discrete
& Computational Geometry, vol. 45, no. 3. Springer, pp. 425–448, 2011.
ista: Chen C, Freedman D. 2011. Hardness results for homology localization. Discrete
& Computational Geometry. 45(3), 425–448.
mla: Chen, Chao, and Daniel Freedman. “Hardness Results for Homology Localization.”
Discrete & Computational Geometry, vol. 45, no. 3, Springer, 2011,
pp. 425–48, doi:10.1007/s00454-010-9322-8.
short: C. Chen, D. Freedman, Discrete & Computational Geometry 45 (2011) 425–448.
corr_author: '1'
date_created: 2018-12-11T12:02:21Z
date_published: 2011-01-14T00:00:00Z
date_updated: 2025-09-30T09:22:32Z
day: '14'
department:
- _id: HeEd
doi: 10.1007/s00454-010-9322-8
external_id:
isi:
- '000287146600005'
intvolume: ' 45'
isi: 1
issue: '3'
language:
- iso: eng
month: '01'
oa_version: None
page: 425 - 448
publication: Discrete & Computational Geometry
publication_status: published
publisher: Springer
publist_id: '3379'
quality_controlled: '1'
related_material:
record:
- id: '10909'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Hardness results for homology localization
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 45
year: '2011'
...
---
_id: '3269'
abstract:
- lang: eng
text: The unintentional scattering of light between neighboring surfaces in complex
projection environments increases the brightness and decreases the contrast, disrupting
the appearance of the desired imagery. To achieve satisfactory projection results,
the inverse problem of global illumination must be solved to cancel this secondary
scattering. In this paper, we propose a global illumination cancellation method
that minimizes the perceptual difference between the desired imagery and the actual
total illumination in the resulting physical environment. Using Gauss-Newton and
active set methods, we design a fast solver for the bound constrained nonlinear
least squares problem raised by the perceptual error metrics. Our solver is further
accelerated with a CUDA implementation and multi-resolution method to achieve
1–2 fps for problems with approximately 3000 variables. We demonstrate the global
illumination cancellation algorithm with our multi-projector system. Results show
that our method preserves the color fidelity of the desired imagery significantly
better than previous methods.
article_processing_charge: No
article_type: original
author:
- first_name: Yu
full_name: Sheng, Yu
last_name: Sheng
- first_name: Barbara
full_name: Cutler, Barbara
last_name: Cutler
- first_name: Chao
full_name: Chen, Chao
id: 3E92416E-F248-11E8-B48F-1D18A9856A87
last_name: Chen
- first_name: Joshua
full_name: Nasman, Joshua
last_name: Nasman
citation:
ama: Sheng Y, Cutler B, Chen C, Nasman J. Perceptual global illumination cancellation
in complex projection environments. Computer Graphics Forum. 2011;30(4):1261-1268.
doi:10.1111/j.1467-8659.2011.01985.x
apa: Sheng, Y., Cutler, B., Chen, C., & Nasman, J. (2011). Perceptual global
illumination cancellation in complex projection environments. Computer Graphics
Forum. Wiley-Blackwell. https://doi.org/10.1111/j.1467-8659.2011.01985.x
chicago: Sheng, Yu, Barbara Cutler, Chao Chen, and Joshua Nasman. “Perceptual Global
Illumination Cancellation in Complex Projection Environments.” Computer Graphics
Forum. Wiley-Blackwell, 2011. https://doi.org/10.1111/j.1467-8659.2011.01985.x.
ieee: Y. Sheng, B. Cutler, C. Chen, and J. Nasman, “Perceptual global illumination
cancellation in complex projection environments,” Computer Graphics Forum,
vol. 30, no. 4. Wiley-Blackwell, pp. 1261–1268, 2011.
ista: Sheng Y, Cutler B, Chen C, Nasman J. 2011. Perceptual global illumination
cancellation in complex projection environments. Computer Graphics Forum. 30(4),
1261–1268.
mla: Sheng, Yu, et al. “Perceptual Global Illumination Cancellation in Complex Projection
Environments.” Computer Graphics Forum, vol. 30, no. 4, Wiley-Blackwell,
2011, pp. 1261–68, doi:10.1111/j.1467-8659.2011.01985.x.
short: Y. Sheng, B. Cutler, C. Chen, J. Nasman, Computer Graphics Forum 30 (2011)
1261–1268.
date_created: 2018-12-11T12:02:22Z
date_published: 2011-07-19T00:00:00Z
date_updated: 2025-09-30T09:22:04Z
day: '19'
department:
- _id: HeEd
doi: 10.1111/j.1467-8659.2011.01985.x
external_id:
isi:
- '000292884700011'
intvolume: ' 30'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.cs.cmu.edu/%7Eshengyu/download/egsr2011_paper.pdf
month: '07'
oa: 1
oa_version: Published Version
page: 1261 - 1268
publication: Computer Graphics Forum
publication_status: published
publisher: Wiley-Blackwell
publist_id: '3377'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Perceptual global illumination cancellation in complex projection environments
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 30
year: '2011'
...
---
_id: '3270'
abstract:
- lang: eng
text: 'The persistence diagram of a filtered simplicial com- plex is usually computed
by reducing the boundary matrix of the complex. We introduce a simple op- timization
technique: by processing the simplices of the complex in decreasing dimension,
we can “kill” columns (i.e., set them to zero) without reducing them. This technique
completely avoids reduction on roughly half of the columns. We demonstrate that
this idea significantly improves the running time of the reduction algorithm in
practice. We also give an output-sensitive complexity analysis for the new al-
gorithm which yields to sub-cubic asymptotic bounds under certain assumptions.'
author:
- first_name: Chao
full_name: Chen, Chao
id: 3E92416E-F248-11E8-B48F-1D18A9856A87
last_name: Chen
- first_name: Michael
full_name: Kerber, Michael
id: 36E4574A-F248-11E8-B48F-1D18A9856A87
last_name: Kerber
orcid: 0000-0002-8030-9299
citation:
ama: 'Chen C, Kerber M. Persistent homology computation with a twist. In: TU Dortmund;
2011:197-200.'
apa: 'Chen, C., & Kerber, M. (2011). Persistent homology computation with a
twist (pp. 197–200). Presented at the EuroCG: European Workshop on Computational
Geometry, Morschach, Switzerland: TU Dortmund.'
chicago: Chen, Chao, and Michael Kerber. “Persistent Homology Computation with a
Twist,” 197–200. TU Dortmund, 2011.
ieee: 'C. Chen and M. Kerber, “Persistent homology computation with a twist,” presented
at the EuroCG: European Workshop on Computational Geometry, Morschach, Switzerland,
2011, pp. 197–200.'
ista: 'Chen C, Kerber M. 2011. Persistent homology computation with a twist. EuroCG:
European Workshop on Computational Geometry, 197–200.'
mla: Chen, Chao, and Michael Kerber. Persistent Homology Computation with a Twist.
TU Dortmund, 2011, pp. 197–200.
short: C. Chen, M. Kerber, in:, TU Dortmund, 2011, pp. 197–200.
conference:
end_date: 2011-03-30
location: Morschach, Switzerland
name: 'EuroCG: European Workshop on Computational Geometry'
start_date: 2011-03-28
corr_author: '1'
date_created: 2018-12-11T12:02:22Z
date_published: 2011-01-01T00:00:00Z
date_updated: 2024-10-09T20:54:35Z
day: '01'
department:
- _id: HeEd
language:
- iso: eng
month: '01'
oa_version: None
page: 197 - 200
publication_status: published
publisher: TU Dortmund
publist_id: '3376'
quality_controlled: '1'
status: public
title: Persistent homology computation with a twist
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2011'
...
---
_id: '3271'
abstract:
- lang: eng
text: In this paper we present an efficient framework for computation of persis-
tent homology of cubical data in arbitrary dimensions. An existing algorithm using
simplicial complexes is adapted to the setting of cubical complexes. The proposed
approach enables efficient application of persistent homology in domains where
the data is naturally given in a cubical form. By avoiding triangulation of the
data, we significantly reduce the size of the complex. We also present a data-structure
de- signed to compactly store and quickly manipulate cubical complexes. By means
of numerical experiments, we show high speed and memory efficiency of our ap-
proach. We compare our framework to other available implementations, showing its
superiority. Finally, we report performance on selected 3D and 4D data-sets.
alternative_title:
- Theory, Algorithms, and Applications
author:
- first_name: Hubert
full_name: Wagner, Hubert
last_name: Wagner
- first_name: Chao
full_name: Chen, Chao
id: 3E92416E-F248-11E8-B48F-1D18A9856A87
last_name: Chen
- first_name: Erald
full_name: Vuçini, Erald
last_name: Vuçini
citation:
ama: 'Wagner H, Chen C, Vuçini E. Efficient computation of persistent homology for
cubical data. In: Peikert R, Hauser H, Carr H, Fuchs R, eds. Topological Methods
in Data Analysis and Visualization II. Springer; 2011:91-106. doi:10.1007/978-3-642-23175-9_7'
apa: Wagner, H., Chen, C., & Vuçini, E. (2011). Efficient computation of persistent
homology for cubical data. In R. Peikert, H. Hauser, H. Carr, & R. Fuchs (Eds.),
Topological Methods in Data Analysis and Visualization II (pp. 91–106).
Springer. https://doi.org/10.1007/978-3-642-23175-9_7
chicago: Wagner, Hubert, Chao Chen, and Erald Vuçini. “Efficient Computation of
Persistent Homology for Cubical Data.” In Topological Methods in Data Analysis
and Visualization II, edited by Ronald Peikert, Helwig Hauser, Hamish Carr,
and Raphael Fuchs, 91–106. Springer, 2011. https://doi.org/10.1007/978-3-642-23175-9_7.
ieee: H. Wagner, C. Chen, and E. Vuçini, “Efficient computation of persistent homology
for cubical data,” in Topological Methods in Data Analysis and Visualization
II, R. Peikert, H. Hauser, H. Carr, and R. Fuchs, Eds. Springer, 2011, pp.
91–106.
ista: 'Wagner H, Chen C, Vuçini E. 2011.Efficient computation of persistent homology
for cubical data. In: Topological Methods in Data Analysis and Visualization II.
Theory, Algorithms, and Applications, , 91–106.'
mla: Wagner, Hubert, et al. “Efficient Computation of Persistent Homology for Cubical
Data.” Topological Methods in Data Analysis and Visualization II, edited
by Ronald Peikert et al., Springer, 2011, pp. 91–106, doi:10.1007/978-3-642-23175-9_7.
short: H. Wagner, C. Chen, E. Vuçini, in:, R. Peikert, H. Hauser, H. Carr, R. Fuchs
(Eds.), Topological Methods in Data Analysis and Visualization II, Springer, 2011,
pp. 91–106.
date_created: 2018-12-11T12:02:23Z
date_published: 2011-11-14T00:00:00Z
date_updated: 2021-01-12T07:42:18Z
day: '14'
department:
- _id: HeEd
doi: 10.1007/978-3-642-23175-9_7
editor:
- first_name: Ronald
full_name: Peikert, Ronald
last_name: Peikert
- first_name: Helwig
full_name: Hauser, Helwig
last_name: Hauser
- first_name: Hamish
full_name: Carr, Hamish
last_name: Carr
- first_name: Raphael
full_name: Fuchs, Raphael
last_name: Fuchs
language:
- iso: eng
month: '11'
oa_version: None
page: 91 - 106
publication: Topological Methods in Data Analysis and Visualization II
publication_status: published
publisher: Springer
publist_id: '3375'
quality_controlled: '1'
scopus_import: 1
status: public
title: Efficient computation of persistent homology for cubical data
type: book_chapter
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2011'
...