178 search results - page 8 / 36 » LSMR: An iterative algorithm for sparse least-squares proble... |
JMLR
2010
13 years 2 months ago
2010
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
ICRA
2003
IEEE
14 years 20 days ago
2003
IEEE
— We present a novel plane tracking algorithm based on the direct update of surface parameters from two stereo images. The plane tracking algorithm is posed as an optimization pr...
ATAL
2009
Springer
14 years 1 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...