Publications
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2012 -
2011 -
2010 -
2009 -
2008 -
2007 -
2006 -
2005
Conditional gradient algorithms for machine learning
Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski
NIPS OPT Workshop,
2012
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Good Practice in Large-Scale Learning for Image Classification
Florent Perronnin, Zeynep Akata, Zaid Harchaoui, Cordelia Schmid
submitted,
2012
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Recognizing activities with cluster-trees of tracklets
Adrien Gaidon, Zaid Harchaoui, Cordelia Schmid
British Machine Vision Conference (BMVC),
2012
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Large-scale classification with trace-norm regularization
Zaid Harchaoui, Matthijs Douze, Mattis Paulin, Miro Dudik, Jerome Malick
IEEE Conference on Computer Vision & Pattern Recognition (CVPR),
2012
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Lifted coordinate descent for learning with trace-norm regularization
Miro Dudik, Zaid Harchaoui, Jerome Malick
International Conference on Artificial Intelligence and Statistics (AISTATS),
2012
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Towards Good Practice in Large-Scale Learning for Image Classification
Florent Perronnin, Zeynep Akata, Zaid Harchaoui, Cordelia Schmid
IEEE Conference on Computer Vision & Pattern Recognition (CVPR),
2012
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Tree-walk kernels for computer vision
Zaid Harchaoui, Francis Bach
Image Processing and Analysis with Graphs: Theory and Practice,
book chapter - CRC Press, 2012
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Learning with matrix gauge regularizers
Miro Dudik, Zaid Harchaoui, Jerome Malick
NIPS OPT Workshop,
2011
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Actom Sequence Models for Efficient Action Detection
Adrien Gaidon, Zaid Harchaoui, Cordelia Schmid
IEEE Conference on Computer Vision & Pattern Recognition (CVPR),
2011
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A time series kernel for action recognition
Adrien Gaidon, Zaid Harchaoui, Cordelia Schmid
British Machine Vision Conference (BMVC),
2011
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Multiple Change-point Estimation with a Total-variation Penalty
Z. Harchaoui, C. Lévy-Leduc
Journal of the American Statistical Association,
105 - 492, 2010
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Multi-Label Classification with Correlated Labels
Z. Harchaoui, F. de la Torre, J. Cohn
CMU Technical Report,
2010
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Instance-selecting regularization penalty for supervised image classifcation
J. Hernandez Rivera, Z. Harchaoui, F. de la Torre
CMU Technical Report CMU-RI-TR-10-42,
2010
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A Fast, Consistent Kernel Two-Sample Test
A. Gretton, K. Fukumizu, Z. Harchaoui, B. Sriperumbudur
Advances in Neural Information Processing Systems (NIPS),
2010
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A Regularized Kernel-based Approach to Unsupervised Audio Segmentation
Z. Harchaoui and F. Vallet and A. Lung-Yut-Fong and O. Cappé
Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2009
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Kernel Change-point Analysis
Z. Harchaoui and F. Bach and E. Moulines
Advances in Neural Information Processing Systems (NIPS),
2009
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Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Z. Harchaoui and F. Bach and E. Moulines
Advances in Neural Information Processing Systems (NIPS),
2008
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Catching Change-points with Lasso
Z. Harchaoui and C. Lévy-Leduc
Advances in Neural Information Processing Systems (NIPS),
2008
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DIFFRAC : a discriminative and flexible framework for clustering
F. Bach and Z. Harchaoui
Advances in Neural Information Processing Systems (NIPS),
2008
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Retrospective Change-point Estimation with Kernels
Z. Harchaoui and O. Cappé
IEEE Workshop on Statistical Signal Processing,
2007
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Image Classification with Segmentation Graph Kernels
Z. Harchaoui and F. Bach
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR),
2007
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A Machine Learning Approach to Conjoint Analysis
O. Chapelle and Z. Harchaoui
Advances in Neural Information Processing Systems (NIPS),
2005
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