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Egor Zverev

Max Cairney-Leeming

Bernd Prach

Hossein Zakerinia

Christoph Lampert

Nikita Kalinin

Peter Sukenik

Jonathan Scott

Georg Martius

Mary Phuong

Paul Henderson

Alexander Kolesnikov

Alexandra Krumes

Alexander Zimin

Amélie Royer

Viktoriia Sharmanska

Nikola Konstantinov

Emilie Morvant

Johannes Dostal

Anastasia Pentina

Filip Korc

Csaba Domokos

Daniel Pucher

Volhejn, Vaclav



114 Publications

2014 | Published | Conference Paper | IST-REx-ID: 2057 | OA
Majority vote of diverse classifiers for late fusion
E. Morvant, A. Habrard, S. Ayache, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 153–162.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2014 | Published | Conference Paper | IST-REx-ID: 2160 | OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, ML Research Press, 2014, pp. 991–999.
[Submitted Version] View | Download Submitted Version (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2171 | OA
Closed-form approximate CRF training for scalable image segmentation
A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 550–565.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2172
Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters
V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–1409.
View | DOI
 
2014 | Published | Conference Paper | IST-REx-ID: 2173 | OA
CoConut: Co-classification with output space regularization
S. Khamis, C. Lampert, in:, 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
Learning a priori constrained weighted majority votes
A. Bellet, A. Habrard, E. Morvant, M. Sebban, Machine Learning 97 (2014) 129–154.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2189 | OA
Adaptation de domaine de vote de majorité par auto-étiquetage non itératif
E. Morvant, in:, Elsevier, 2014, pp. 49–58.
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2013 | Published | Journal Article | IST-REx-ID: 2516
Attribute-based classification for zero-shot learning of object categories
C. Lampert, H. Nickisch, S. Harmeling, IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (2013) 453–465.
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2013 | Published | Conference Paper | IST-REx-ID: 2520 | OA
The supervised IBP: Neighbourhood preserving infinite latent feature models
N. Quadrianto, V. Sharmanska, D. Knowles, Z. Ghahramani, in:, Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–536.
[Submitted Version] View | Files available
 
2013 | Published | Conference Paper | IST-REx-ID: 2901 | OA
Computing the M most probable modes of a graphical model
C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, C. Lampert, in:, JMLR, 2013, pp. 161–169.
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2013 | Published | Conference Paper | IST-REx-ID: 2948 | OA
Beyond dataset bias: Multi-task unaligned shared knowledge transfer
T. Tommasi, N. Quadrianto, B. Caputo, C. Lampert, 7724 (2013) 1–15.
[Submitted Version] View | Files available | DOI
 
2013 | Published | Encyclopedia Article | IST-REx-ID: 3321
Kernel based learning
N. Quadrianto, C. Lampert, in:, W. Dubitzky, O. Wolkenhauer, K. Cho, H. Yokota (Eds.), Encyclopedia of Systems Biology, Springer, 2013, pp. 1069–1069.
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2013 | Published | Conference Paper | IST-REx-ID: 2293 | OA
Learning to rank using privileged information
V. Sharmanska, N. Quadrianto, C. Lampert, in:, IEEE, 2013, pp. 825–832.
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2013 | Published | Conference Paper | IST-REx-ID: 2294 | OA
Drosophila Embryo Stage Annotation using Label Propagation
T. Kazmar, E. Kvon, A. Stark, C. Lampert, in:, IEEE, 2013.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
2012 | Published | Conference Paper | IST-REx-ID: 2825
Dynamic pruning of factor graphs for maximum marginal prediction
C. Lampert, in:, Neural Information Processing Systems, 2012, pp. 82–90.
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2012 | Published | Conference Paper | IST-REx-ID: 2915
Multi-modal learning for dynamic tactile sensing
O. Kroemer, C. Lampert, J. Peters, in:, Deutsches Zentrum für Luft und Raumfahrt, 2012.
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2012 | Published | Conference Paper | IST-REx-ID: 3124 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
[Submitted Version] View | Files available
 
2012 | Published | Conference Paper | IST-REx-ID: 3125 | OA
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
[Submitted Version] View | Files available | DOI
 
2012 | Published | Conference Paper | IST-REx-ID: 3126
Information theoretic clustering using minimal spanning trees
A. Müller, S. Nowozin, C. Lampert, in:, Springer, 2012, pp. 205–215.
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2012 | Published | Conference Paper | IST-REx-ID: 3127 | OA
The most persistent soft-clique in a set of sampled graphs
N. Quadrianto, C. Lampert, C. Chen, in:, Proceedings of the 29th International Conference on Machine Learning, ML Research Press, 2012, pp. 211–218.
[Preprint] View | Download Preprint (ext.)
 

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