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CORR
2012
Springer
218views Education» more  CORR 2012»
13 years 5 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
CVPR
2007
IEEE
15 years 11 months 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
ICASSP
2009
IEEE
15 years 4 months ago
Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing...
NIPS
2007
14 years 11 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
SIAMCO
2002
121views more  SIAMCO 2002»
14 years 9 months ago
Consistent Approximations and Approximate Functions and Gradients in Optimal Control
As shown in [7], optimal control problems with either ODE or PDE dynamics can be solved efficiently using a setting of consistent approximations obtained by numerical discretizati...
Olivier Pironneau, Elijah Polak