98 search results - page 6 / 20 » A Function Representation for Learning in Banach Spaces |
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
NIPS
1990
13 years 9 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
ICPR
2008
IEEE
14 years 9 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
2005
IEEE
14 years 10 months ago
2005
IEEE
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...