161 search results - page 28 / 33 » Least Squares SVM for Least Squares TD Learning |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
ERCIMDL
2009
Springer
14 years 2 months ago
2009
Springer
An effective graphic interface is a key tool to improve the fruition of the results retrieved by an Information Retrieval (IR) system. In this work, we describe a two-dimensional...
SLSFS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
NIPS
2001
13 years 9 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...