14704 search results - page 2487 / 2941 » computing 2007 |
154
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
181
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
184
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
210
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
217
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...