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hal-00858954v1  Conference papers
Andreas Argyriou, Rina Foygel, Nathan Srebro. Sparse Prediction with the $k$-Support Norm
Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States. pp.1466-1474
hal-00856321v1  Conference papers
Noura Azzabou, Nikos Paragios. Spatio-temporal speckle reduction in ultrasound sequences
11th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, Sep 2008, New-York, United States. pp.951-958, ⟨10.1007/978-3-540-85988-8_113⟩
hal-00918707v1  Conference papers
Régis Behmo, Nikos Paragios, Veronique Prinet. Graph commute times for image representation
CVPR 2008 - Computer Vision and Pattern Recognition, Jun 2008, Anchorage, AK, United States. pp.1-8, ⟨10.1109/CVPR.2008.4587840⟩
hal-00918717v1  Conference papers
Régis Behmo, Nikos Paragios, Veronique Prinet. An Application of Graph Commute Times to Image Indexing
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, 2008, Boston, United States. pp.495-498, ⟨10.1109/IGARSS.2008.4779392⟩
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-00918711v1  Conference papers
Glocker Ben, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab. Optical flow estimation with uncertainties through dynamic MRFs
Optical flow estimation with uncertainties through dynamic MRFs, 2008, United States. pp.1-8
hal-01104407v1  Conference papers
Wacha Bounliphone, Arthur Gretton, Matthew Blaschko. Kernel non-parametric tests of relative dependency
NIPS Workshop on Modern Nonparametrics 3: Automating the Learning Pipeline, Dec 2014, Montreal, Canada
hal-00859448v1  Conference papers
Michael Bronstein, Iasonas Kokkinos. Scale-invariant heat kernel signatures for non-rigid shape recognition
CVPR - IEEE Conference on Computer Vision and Pattern Recognition, 2010, San Francisco, United States. pp.1704-1711
hal-00856061v1  Conference papers
Michael Bronstein, Alexander Bronstein, Fabrice Michel, Nikos Paragios. Data fusion through cross-modality metric learning using similarity-sensitive hashing
23rd IEEE Conference on Computer Vision and Pattern Recognition - CVPR 2010, Jun 2010, San Francisco, United States. pp.3594-3601, ⟨10.1109/CVPR.2010.5539928⟩
hal-02454644v1  Conference papers
Emilie Chouzenoux, Víctor Elvira. Adaptive importance sampling with scaled Langevin proposal adaptatioń
17th International Conference on Computer Aided Systems Theory (EUROCAST 2019), Feb 2019, Las Palmas de Gran Canaria, Spain
hal-01650956v1  Conference papers
Enzo Ferrante, Puneet K Dokania, Rafael Marini, Nikos Paragios. Deformable Registration through Learning of Context-Specific Metric Aggregation
Machine Learning in Medical Imaging Worlshop. MLMI (MICCAI 2017), Sep 2017, Quebec City, Canada
hal-00918704v1  Conference papers
Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab. Effiziente nichtlineare Registrierung mittels diskreter Optimierung.
Bildverarbeitung für die Medizin 2008, 2008, Germany. pp.87-91
hal-00918726v1  Conference papers
Xavier Hubert, Dominique Chambellan, Samuel Legoupil, Régine Trébossen, Jean-Robert Deverre et al.  Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 2008, New-York, United States. pp.255-262, ⟨10.1007/978-3-540-85990-1_31⟩
hal-00856297v1  Conference papers
Samuel Kadoury, Guray Erus, Evangelina I. Zacharaki, Nikos Paragios, Davatzikos Christos. Manifold-constrained embeddings for the detection of white matter lesions in brain MRI
2012 IEEE 9th International Symposium on Biomedical Imaging - ISBI 2012, May 2012, Barcelona, Spain. pp.562 - 565
hal-00865699v1  Conference papers
Joerg Kappes, Bjoern Andres, Fred Hamprecht, Christoph Schnörr, Sebastian Nowozin et al.  A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems
IEEE Conference on Computer Vision and Pattern Recognition 2013, 2013, United States. pp.1-8
hal-02432711v1  Conference papers
Iasonas Kokkinos. Pushing the boundaries of boundary detection using deep learning
4th International Conference on Learning Representations, ICLR 2016, May 2016, San Juan, Puerto Rico
hal-00857572v1  Conference papers
Iasonas Kokkinos, Michael M. Bronstein, Roee Litman, Alexander M. Bronstein. Intrinsic shape context descriptors for deformable shapes
CVPR 2012 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2012, Providence, United States. pp.159-166, ⟨10.1109/CVPR.2012.6247671⟩
hal-00856285v1  Conference papers
Nikos Komodakis, Nikos Paragios. MRF-Based blind image deconvolution
11th Asian Conference on Computer Vision - ACCV 2012, Nov 2012, Daejeon, North Korea. pp.361-374
hal-00856054v1  Conference papers
Fabrice Michel, Nikos Paragios. Image transport regression using mixture of experts and discrete Markov random fields
2010 IEEE 7th International Symposium on Biomedical Imaging - ISBI 2010, Apr 2010, Rotterdam, Netherlands. pp.1229-1232, ⟨10.1109/ISBI.2010.5490217⟩
hal-03115064v1  Conference papers
Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu. Signal Denoising Using a New Class of Robust Neural Networks
2020 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. pp.1492-1496, ⟨10.23919/Eusipco47968.2020.9287630⟩
hal-01323727v1  Conference papers
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet K. Dokania, Simon Lacoste-Julien. Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
International Conference on Machine Learning (ICML 2016)., 2016, New York, United States
hal-00865703v1  Conference papers
Costas Panagiotakis, Harris Papadakis, Elias Grinias, Nikos Komodakis, Paraskevi Fragopoulou et al.  Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling
15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013), Aug 2013, York, United Kingdom. pp.589-596, ⟨10.1007/978-3-642-40261-6_71⟩