56 search results - page 6 / 12 » Stochastic methods for l1 regularized loss minimization |
82
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We present a novel stereo video disparity estimation method. The proposed method is a two-stage algorithm. During the first stage, initial disparity maps are computed in a frameb...
127
Voted
SIAMIS
2010
14 years 7 months ago
2010
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
NIPS
2007
15 years 1 months ago
2007
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
136
Voted
CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
108
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ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...