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SIAMSC
2010
215views more  SIAMSC 2010»
13 years 3 months ago
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
We propose a fast algorithm for solving the ℓ1-regularized minimization problem minx∈Rn µ x 1 + Ax − b 2 2 for recovering sparse solutions to an undetermined system of linea...
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
ECCV
2010
Springer
13 years 5 months ago
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, ...
ICIP
2009
IEEE
14 years 5 months ago
Monotone Operator Splitting For Optimization Problems In Sparse Recovery
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...
ICMCS
2008
IEEE
151views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Fast keyword detection with sparse time-frequency models
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
Effrosini Kokiopoulou, Pascal Frossard, Olivier Ve...
ICIP
2007
IEEE
14 years 6 months ago
Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography
Discrete tomography (DT) is concerned with the tomographic reconstruction of images that consist of only a small number of gray levels. DT reconstruction problems are usually unde...
Kees Joost Batenburg, Jan Sijbers