2166 search results - page 9 / 434 » Support Vector Regression Machines |
103
Voted
CGF
2005
15 years 9 days ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
101
Voted
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
111
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ICANN
2005
Springer
15 years 5 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
76
Voted
NIPS
2003
15 years 1 months ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
143
Voted
ECRIME
2007
15 years 4 months ago
2007
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...