56 search results - page 2 / 12 » Stochastic methods for l1 regularized loss minimization |
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
In this paper, we address the problem of super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...