3413 search results - page 309 / 683 » New Support Vector Algorithms |
176
click to vote
ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
192
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
178
click to vote
ISDA
2009
IEEE
16 years 1 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
177
click to vote
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
One of the biggest challenges in speaker recognition is dealing with speaker-emotion variability. The basic problem is how to train the emotion GMMs of the speakers from their neu...
171
click to vote
IJCNN
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...