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NIPS
2007
15 years 8 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
AML
2010
98views more  AML 2010»
15 years 6 months ago
Small universal families for graphs omitting cliques without GCH
When no single universal model for a set of structures exists at a given cardinal, then one may ask in which models of set theory does there exist a small family which embeds the r...
Katherine Thompson
ECCV
2010
Springer
15 years 12 months ago
Non-Local Kernel Regression for Image and Video Restoration
This paper presents a non-local kernel regression (NL-KR) method for image and video restoration tasks, which exploits both the non-local self-similarity and local structural regul...
TSP
2008
146views more  TSP 2008»
15 years 6 months ago
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals
Abstract-- The FOCal Underdetermined System Solver (FOCUSS) algorithm has already found many applications in signal processing and data analysis, whereas the regularized MFOCUSS al...
Rafal Zdunek, Andrzej Cichocki
CPC
2002
95views more  CPC 2002»
15 years 6 months ago
Permutation Pseudographs And Contiguity
The space of permutation pseudographs is a probabilistic model of 2-regular pseudographs on n vertices, where a pseudograph is produced by choosing a permutation of {1, 2, . . . ...
Catherine S. Greenhill, Svante Janson, Jeong Han K...