48 search results - page 2 / 10 » Application of Kernel-Based Feature Space Transformations an... |
PR
2010
13 years 3 months ago
2010
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...