215 search results - page 3 / 43 » Improving the Representation Space through Exception-Based L... |
AIIA
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. In order to have a robotic system able to effectively learn by imitation, and not merely reproduce the movements of a human teacher, the system should have the capabiliti...
AFPAC
2000
Springer
13 years 10 months ago
2000
Springer
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...