Search - INRIA - Institut National de Recherche en Informatique et en Automatique

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	hal-01167861v1 Journal articles Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew Blaschko. Convex relaxations of penalties for sparse correlated variables with bounded total variation Machine Learning, Springer Verlag, 2015, pp.1-21. ⟨10.1007/s10994-015-5511-2⟩
	hal-00776030v1 Conference papers Naomi Saphra, Juho Kannala, Esa Rahtu, Matthew Blaschko. Automatic verification of boundary annotations from mechanical turk Women in Machine Learning Workshop, Dec 2012, Lake Tahoe, NV, United States
	hal-00775992v1 Conference papers Arpit Mittal, Matthew Blaschko, Andrew Zisserman, Philip Torr. Taxonomic Multi-class Prediction and Person Layout using Efficient Structured Ranking European Conference on Computer Vision, Oct 2012, Firenze, Italy. pp.245-258, ⟨10.1007/978-3-642-33709-3_18⟩
	hal-00842098v3 Conference papers Wojciech Zaremba, Arthur Gretton, Matthew Blaschko. B-tests: Low Variance Kernel Two-Sample Tests Neural Information Processing Systems, Dec 2013, Lake Tahoe, United States
	hal-01151823v1 Conference papers Jiaqian Yu, Matthew Blaschko. Learning Submodular Losses with the Lovász Hinge International Conference on Machine Learning, Jul 2015, Lille, France
	hal-00738219v1 Conference papers Alex Flint, Matthew Blaschko. Perceptron Learning of SAT Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States. pp.2780-2788
	hal-01165337v1 Conference papers Matthew Blaschko, Jiaqian Yu. Hardness Results for Structured Learning and Inference with Multiple Correct Outputs Constructive Machine Learning Workshop at ICML, Jul 2015, Lille, France
	hal-01667777v1 Poster communications Eugene Belilovsky, Matthew Blaschko, Jamie Kiros, Raquel Urtasun, Richard Zemel. Joint Embeddings of Scene Graphs and Images International Conference On Learning Representations - Workshop, 2017, Toulon, France
	hal-01299519v1 Conference papers Jiaqian Yu, Matthew Blaschko. A Convex Surrogate Operator for General Non-Modular Loss Functions The 19th International Conference on Artificial Intelligence and Statistics, May 2016, Cadiz, Spain
	hal-00855735v1 Conference papers Esa Rahtu, Juho Kannala, Matthew Blaschko. Learning a Category Independent Object Detection Cascade International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.1052-1059, ⟨10.1109/ICCV.2011.6126351⟩
	hal-00855739v1 Conference papers Andrea Vedaldi, Matthew Blaschko, Andrew Zisserman. Learning Equivariant Structured Output SVM Regressors International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.959-966, ⟨10.1109/ICCV.2011.6126339⟩
	hal-00960368v1 Journal articles Matthew Blaschko, Christoph Lampert,. Guest Editorial: Special Issue on Structured Prediction and Inference International Journal of Computer Vision, Springer Verlag, 2012, 99 (3), pp.257-258. ⟨10.1007/s11263-012-0530-y⟩
	hal-01263194v1 Poster communications Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus, Matthew Blaschko. Kernel non-parametric tests of relative dependency International conference of the ERCIM WG on computational and methodological statistics - CMStatistics 2015, Dec 2015, London, United Kingdom. Elsevier, ISBN 978-9963-2227-0-4, pp.165-166, CFE-CMSTATISTICS 2015
	hal-01104413v1 Conference papers Jiaqian Yu, Matthew Blaschko. Lovasz Hinge for Learning Submodular Losses NIPS Workshop on Representation and Learning Methods for Complex Outputs, Dec 2014, Montreal, Canada
	hal-01104411v1 Conference papers Eugene Belilovsky, Andreas Argyriou, Matthew Blaschko. Approximating Combined Discrete Total Variation and Correlated Sparsity With Convex Relaxations NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning, Dec 2014, Montreal, Canada
	hal-00776027v1 Reports Matthew Blaschko, Ross Girshick, Juho Kannala, Iasonas Kokkinos, Siddarth Mahendran et al. Towards a detailed understanding of objects and scenes in natural images [Technical Report] 2012
	hal-01306491v4 Conference papers Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew Blaschko. Learning to Discover Sparse Graphical Models International Conference on Machine Learning , Aug 2017, Sydney, Australia
	hal-01034903v1 Conference papers Mahsa Ghafarianzadeh, Matthew Blaschko, Gabe Sibley. Unsupervised Spatio-Temporal Segmentation with Sparse Spectral Clustering British Machine Vision Conference (BMVC), Sep 2014, Nottingham, United Kingdom
	hal-00784386v1 Conference papers Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Goldstein, Matthew Blaschko. FMRI Analysis of Cocaine Addiction Using K-Support Sparsity International Symposium on Biomedical Imaging, IEEE, Apr 2013, San Francisco, United States
	hal-00815374v1 Conference papers Matthew Blaschko, Juho Kannala, Esa Rahtu. Non Maximal Suppression in Cascaded Ranking Models Scandanavian Conference on Image Analysis, Jun 2013, Espoo, Finland. pp.408-419, ⟨10.1007/978-3-642-38886-6_39⟩
	tel-01086088v1 Habilitation à diriger des recherches Matthew Blaschko. Advances in Empirical Risk Minimization for Image Analysis and Pattern Recognition Machine Learning [stat.ML]. ENS Cachan, 2014
	hal-00940262v1 Journal articles Matthew Blaschko. Machine Learning for Neurological Disorders Centraliens, Association des centraliens, 2014, pp.40-42
	hal-00803981v2 Conference papers Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew Blaschko. Learning from M/EEG data with variable brain activation delays International Conference on Information Processing in Medical Imaging, Jun 2013, Asilomar, United States
	hal-01205717v1 Journal articles Katerina Gkirtzou, Matthew Blaschko. The Pyramid Quantized Weisfeiler-Lehman Graph Representation Neurocomputing, Elsevier, 2016, 173, pp.1495-1507. ⟨10.1016/j.neucom.2015.09.023⟩
	hal-01241626v2 Preprints, Working Papers, ... Jiaqian Yu, Matthew Blaschko. The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses 2017
	hal-00842101v1 Preprints, Working Papers, ... Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew Blaschko, Andrea Vedaldi. Fine-Grained Visual Classification of Aircraft 2013
	hal-00804592v2 Preprints, Working Papers, ... Matthew Blaschko. A Note on k-support Norm Regularized Risk Minimization 2013
	hal-01298279v1 Preprints, Working Papers, ... Wacha Bounliphone, Matthew Blaschko. A U-statistic Approach to Hypothesis Testing for Structure Discovery in Undirected Graphical Models 2016
	hal-01020943v1 Conference papers Matthew Blaschko, Arpit Mittal, Esa Rahtu. An O(n log n) Cutting Plane Algorithm for Structured Output Ranking German Conference on Pattern Recognition, Sep 2014, Münster, Germany. ⟨10.1007/978-3-319-11752-2_11⟩
	hal-01024226v1 Conference papers José Ignacio Orlando, Matthew Blaschko. Learning fully-connected CRFs for blood vessel segmentation in retinal images Medical Image Computing and Computer Assisted Intervention (MICCAI), Sep 2014, Boston, United States. ⟨10.1007/978-3-319-10404-1_79⟩
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