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EMMCVPR
2005
Springer
14 years 2 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
ICC
2007
IEEE
104views Communications» more  ICC 2007»
14 years 2 months ago
Multiplexing Video on Broadcast Channels via Convex Programs
— We propose a joint power- and rate-control scheme to broadcast a multiplicity of video sequences over a broadcast channel. The formulation is intended to be general in scope, w...
Raju Hormis, Elliot N. Linzer, Xiaodong Wang
IPCO
2010
153views Optimization» more  IPCO 2010»
13 years 6 months ago
An Effective Branch-and-Bound Algorithm for Convex Quadratic Integer Programming
We present a branch-and-bound algorithm for minimizing a convex quadratic objective function over integer variables subject to convex constraints. In a given node of the enumerati...
Christoph Buchheim, Alberto Caprara, Andrea Lodi
JMLR
2008
169views more  JMLR 2008»
13 years 8 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
ICCV
2005
IEEE
14 years 10 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler