15120 search results - page 124 / 3024 » Learning with Local Models |
124
Voted
CVPR
2001
IEEE
16 years 4 months ago
2001
IEEE
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
133
Voted
IJCNN
2008
IEEE
15 years 9 months ago
2008
IEEE
Abstract— Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image ...
129
Voted
AAAI
2004
15 years 4 months ago
2004
Object recognition and detection represent a relevant component in cognitive computer vision systems, such as in robot vision, intelligent video surveillance systems, or multi-mod...
122
Voted
AUSAI
2005
Springer
15 years 8 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
112
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...