---
_id: '18376'
abstract:
- lang: eng
  text: Visual understanding is often based on measuring similarity between observations.
    Learning similarities specific to a certain perception task from a set of examples
    has been shown advantageous in various computer vision and pattern recognition
    problems. In many important applications, the data that one needs to compare come
    from different representations or modalities, and the similarity between such
    data operates on objects that may have different and often incommensurable structure
    and dimensionality. In this paper, we propose a framework for supervised similarity
    learning based on embedding the input data from two arbitrary spaces into the
    Hamming space. The mapping is expressed as a binary classification problem with
    positive and negative examples, and can be efficiently learned using boosting
    algorithms. The utility and efficiency of such a generic approach is demonstrated
    on several challenging applications including cross-representation shape retrieval
    and alignment of multi-modal medical images.
article_processing_charge: No
author:
- first_name: Michael M.
  full_name: Bronstein, Michael M.
  last_name: Bronstein
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Fabrice
  full_name: Michel, Fabrice
  last_name: Michel
- first_name: Nikos
  full_name: Paragios, Nikos
  last_name: Paragios
citation:
  ama: 'Bronstein MM, Bronstein AM, Michel F, Paragios N. Data fusion through cross-modality
    metric learning using similarity-sensitive hashing. In: <i>2010 IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition</i>. IEEE; 2010:3594-3601.
    doi:<a href="https://doi.org/10.1109/cvpr.2010.5539928">10.1109/cvpr.2010.5539928</a>'
  apa: 'Bronstein, M. M., Bronstein, A. M., Michel, F., &#38; Paragios, N. (2010).
    Data fusion through cross-modality metric learning using similarity-sensitive
    hashing. In <i>2010 IEEE Computer Society Conference on Computer Vision and Pattern
    Recognition</i> (pp. 3594–3601). San Francisco, CA, USA: IEEE. <a href="https://doi.org/10.1109/cvpr.2010.5539928">https://doi.org/10.1109/cvpr.2010.5539928</a>'
  chicago: Bronstein, Michael M., Alex M. Bronstein, Fabrice Michel, and Nikos Paragios.
    “Data Fusion through Cross-Modality Metric Learning Using Similarity-Sensitive
    Hashing.” In <i>2010 IEEE Computer Society Conference on Computer Vision and Pattern
    Recognition</i>, 3594–3601. IEEE, 2010. <a href="https://doi.org/10.1109/cvpr.2010.5539928">https://doi.org/10.1109/cvpr.2010.5539928</a>.
  ieee: M. M. Bronstein, A. M. Bronstein, F. Michel, and N. Paragios, “Data fusion
    through cross-modality metric learning using similarity-sensitive hashing,” in
    <i>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>,
    San Francisco, CA, USA, 2010, pp. 3594–3601.
  ista: Bronstein MM, Bronstein AM, Michel F, Paragios N. 2010. Data fusion through
    cross-modality metric learning using similarity-sensitive hashing. 2010 IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition. 2010 IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition, 3594–3601.
  mla: Bronstein, Michael M., et al. “Data Fusion through Cross-Modality Metric Learning
    Using Similarity-Sensitive Hashing.” <i>2010 IEEE Computer Society Conference
    on Computer Vision and Pattern Recognition</i>, IEEE, 2010, pp. 3594–601, doi:<a
    href="https://doi.org/10.1109/cvpr.2010.5539928">10.1109/cvpr.2010.5539928</a>.
  short: M.M. Bronstein, A.M. Bronstein, F. Michel, N. Paragios, in:, 2010 IEEE Computer
    Society Conference on Computer Vision and Pattern Recognition, IEEE, 2010, pp.
    3594–3601.
conference:
  end_date: 2010-06-18
  location: San Francisco, CA, USA
  name: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  start_date: 2010-06-13
date_created: 2024-10-15T11:20:54Z
date_published: 2010-08-05T00:00:00Z
date_updated: 2024-12-02T14:00:22Z
day: '05'
doi: 10.1109/cvpr.2010.5539928
extern: '1'
language:
- iso: eng
month: '08'
oa_version: None
page: 3594 - 3601
publication: 2010 IEEE Computer Society Conference on Computer Vision and Pattern
  Recognition
publication_identifier:
  issn:
  - '1063-6919 '
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Data fusion through cross-modality metric learning using similarity-sensitive
  hashing
type: conference
user_id: ea97e931-d5af-11eb-85d4-e6957dddbf17
year: '2010'
...