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TIT
2010
137views Education» more  TIT 2010»
13 years 4 months ago
Average case analysis of multichannel sparse recovery using convex relaxation
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
Yonina C. Eldar, Holger Rauhut
JMLR
2008
169views more  JMLR 2008»
13 years 10 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
SIAMJO
2010
136views more  SIAMJO 2010»
13 years 4 months ago
A New Exchange Method for Convex Semi-Infinite Programming
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
Liping Zhang, Soon-Yi Wu, Marco A. López
ESOP
2007
Springer
14 years 4 months ago
Interprocedurally Analysing Linear Inequality Relations
In this paper we present an alternative approach to interprocedurally g linear inequality relations. We propose an abstraction of the effects of procedures through convex sets of t...
Helmut Seidl, Andrea Flexeder, Michael Petter
CVPR
2007
IEEE
15 years 3 days ago
Graph Cut Based Optimization for MRFs with Truncated Convex Priors
Optimization with graph cuts became very popular in recent years. Progress in problems such as stereo correspondence, image segmentation, etc., can be attributed, in part, to the ...
Olga Veksler