3675 search results - page 348 / 735 » Support Vector Tracking |
169
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
178
Voted
ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
180
click to vote
ALT
2004
Springer
16 years 3 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
199
click to vote
MCS
2010
Springer
16 years 1 months ago
2010
Springer
A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is presented. This method is sensitive to the target class in that a separa...
177
Voted
GBRPR
2009
Springer
16 years 1 months ago
2009
Springer
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...