2166 search results - page 134 / 434 » Support Vector Regression Machines |
81
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper we demonstrate that the support vector tracking (SVT) framework first proposed by Avidan is equivalent to the canonical Lucas-Kanade (LK) algorithm with a weighted E...
101
Voted
KDD
2005
ACM
16 years 1 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
83
Voted
ICANN
2001
Springer
15 years 5 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
131
click to vote
JMLR
2002
15 years 14 days ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
102
click to vote
ICMCS
2005
IEEE
15 years 6 months ago
2005
IEEE
For many decades automatic facial expression recognition has scientifically been considered a real challenging problem in the fields of pattern recognition or robotic vision. The ...