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Sparse
Results: 1782

#	Item
341	Sparse and spurious: dictionary learning with noise and outliers Rodolphe Jenatton Amazon, Berlin Add to Reading List Source URL: www.maths.ed.ac.uk Language: English - Date: 2015-05-06 15:23:45
342	EXTREMAL CUTS OF SPARSE RANDOM GRAPHS AMIR DEMBO∗ , ANDREA MONTANARI† , AND SUBHABRATA SEN Abstract. For Erd˝ os-R´enyi random graphs with average degree γ, and uniformly random γ-regular graph on n vertices,pwe Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-04-23 23:09:13
343	On the accuracy of `1-filtering of signals with block-sparse structure Anatoli Juditsky∗ Fatma Kılınc¸ Karzan† Add to Reading List Source URL: ljk.imag.fr Language: English - Date: 2012-04-04 09:14:28
344	On the communication complexity of sparse set disjointness and exists-equal problems Mert Sa˘ glam G´abor Tardos Add to Reading List Source URL: www.renyi.hu Language: English - Date: 2013-04-03 19:27:44
345	Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities Adrien Todeschini and Fran¸ cois Caron arXiv:1602.02114v1 [stat.ME] 5 Feb 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-07 20:23:25
346	Bayesian Models for Structured Sparse Estimation via Set Cover Prior Xianghang Liu1,2 , 1 2 Add to Reading List Source URL: tiberiocaetano.com Language: English - Date: 2014-07-03 13:34:22
347	ON THE SAMPLE COMPLEXITY OF SPARSE DICTIONARY LEARNING M. Seibert1 , M. Kleinsteuber1 , R. Gribonval2 , R. Jenatton3,4, F. Bach3,5 arXiv:1403.5112v1 [stat.ML] 20 Mar Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-03-20 20:31:30
348	UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCun Courant Institute of Mathematical Sciences New York University ; ya Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2011-08-21 02:28:55
349	Training sparse natural image models with a fast Gibbs sampler of an extended state space Lucas Theis1, Jascha Sohl-Dickstein2, Matthias Bethge1,3,4 1 Werner 2 Redwood Center for Theoretical Neuroscience, Berkeley Add to Reading List Source URL: bethgelab.org Language: English - Date: 2014-07-16 00:04:05
350	Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks Varun Jampani1 , Martin Kiefel1,2 and Peter V. Gehler1,2 Max Planck Institute for Intelligent Systems, T¨ubingen, 72076 Add to Reading List Source URL: files.is.tue.mpg.de Language: English - Date: 2016-04-11 06:13:57

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