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CORR
2012
Springer
232views Education» more  CORR 2012»
12 years 3 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
JGO
2011
149views more  JGO 2011»
13 years 2 months ago
A logarithmic-quadratic proximal point scalarization method for multiobjective programming
We present a proximal point method to solve multiobjective problems based on the scalarization for maps. We build a family of a convex scalar strict representation of a convex map...
Ronaldo Gregório, Paulo Roberto Oliveira
EOR
2010
160views more  EOR 2010»
13 years 7 months ago
A modified alternating direction method for convex quadratically constrained quadratic semidefinite programs
We propose a modified alternate direction method for solving convex quadratically constrained quadratic semidefinite optimization problems. The method is a first-order method, the...
Jie Sun, Su Zhang
ICASSP
2011
IEEE
12 years 11 months ago
Proximal splitting methods for depth estimation
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In ...
Mireille El Gheche, Jean-Christophe Pesquet, Jouma...
OL
2007
133views more  OL 2007»
13 years 7 months ago
An SQP-type algorithm for nonlinear second-order cone programs
We propose an SQP-type algorithm for solving nonlinear second-order cone programming (NSOCP) problems. At every iteration, the algorithm solves a convex SOCP subproblem in which th...
Hirokazu Kato, Masao Fukushima