160 search results - page 10 / 32 » Maximum a posteriori based regularization parameter selectio... |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
This paper presents a novel approach for estimating parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterior (MAP...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
CORR
2011
Springer
13 years 14 days ago
2011
Springer
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
ESANN
2007
13 years 10 months ago
2007
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
KDD
2010
ACM
14 years 18 days ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...