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136 Publications


2014 | Published | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov, Alexander, et al. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65, doi:10.1007/978-3-319-10578-9_36.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | arXiv
 

2014 | Published | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, et al. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–09, doi:10.1109/CVPR.2014.182.
View | DOI | WoS
 

2014 | Published | Conference Paper | IST-REx-ID: 2173 | OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
[Published Version] View | Files available
 

2014 | Published | Journal Article | IST-REx-ID: 2180 | OA
Bellet, Aurélien, et al. “Learning a Priori Constrained Weighted Majority Votes.” Machine Learning, vol. 97, no. 1–2, Springer, 2014, pp. 129–54, doi:10.1007/s10994-014-5462-z.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

2014 | Published | Conference Paper | IST-REx-ID: 2189 | OA
Morvant, Emilie. Adaptation de Domaine de Vote de Majorité Par Auto-Étiquetage Non Itératif. Vol. 1, Elsevier, 2014, pp. 49–58.
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2014 | Published | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems Foundation, 2014, pp. 837–45.
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2014 | Published | Conference Paper | IST-REx-ID: 2051 | OA
Marchand, Mario, et al. “Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks.” Advances in Neural Information Processing Systems, vol. 27, Neural Information Processing Systems Foundation, 2014.
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2014 | Published | Conference Paper | IST-REx-ID: 2057 | OA
Morvant, Emilie, et al. “Majority Vote of Diverse Classifiers for Late Fusion.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8621, Springer, 2014, pp. 153–62, doi:10.1007/978-3-662-44415-3_16.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2014 | Published | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, et al. “Movement Templates for Learning of Hitting and Batting.” Learning Motor Skills, edited by Jens Kober and Jan Peters, vol. 97, Springer, 2014, pp. 69–82, doi:10.1007/978-3-319-03194-1_3.
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2013 | Published | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska, Viktoriia, et al. Learning to Rank Using Privileged Information. IEEE, 2013, pp. 825–32, doi:10.1109/ICCV.2013.107.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

2013 | Published | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar, Tomas, et al. Drosophila Embryo Stage Annotation Using Label Propagation. IEEE, 2013, doi:10.1109/ICCV.2013.139.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

2013 | Published | Journal Article | IST-REx-ID: 2516
Lampert, Christoph, et al. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 3, IEEE, 2013, pp. 453–65, doi:10.1109/TPAMI.2013.140.
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2013 | Published | Conference Paper | IST-REx-ID: 2520 | OA
Quadrianto, Novi, et al. “The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.” Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–36.
[Submitted Version] View | Files available
 

2013 | Published | Conference Paper | IST-REx-ID: 2901 | OA
Chen, Chao, et al. Computing the M Most Probable Modes of a Graphical Model. Vol. 31, JMLR, 2013, pp. 161–69.
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2013 | Published | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi, Tatiana, et al. Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer. Vol. 7724, Springer, 2013, pp. 1–15, doi:10.1007/978-3-642-37331-2_1.
[Submitted Version] View | Files available | DOI
 

2013 | Published | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.” Encyclopedia of Systems Biology, edited by Werner Dubitzky et al., vol. 3, Springer, 2013, pp. 1069–1069, doi:10.1007/978-1-4419-9863-7_604.
View | DOI
 

2012 | Published | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction. Vol. 1, Neural Information Processing Systems Foundation, 2012, pp. 82–90.
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2012 | Published | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, et al. Multi-Modal Learning for Dynamic Tactile Sensing. Deutsches Zentrum für Luft und Raumfahrt, 2012.
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2012 | Published | Technical Report | IST-REx-ID: 5396 | OA
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012, doi:10.15479/AT:IST-2012-0003.
[Published Version] View | Files available | DOI
 

earlier version | 2012 | Published | Conference Paper | IST-REx-ID: 3124 | OA
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. ICML, 2012.
[Submitted Version] View | Files available
 

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