331 search results - page 16 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
INFORMS
2010
13 years 6 months ago
2010
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
NIPS
2000
13 years 8 months ago
2000
In theory, the Winnow multiplicative update has certain advantages over the Perceptron additive update when there are many irrelevant attributes. Recently, there has been much eff...
KSEM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...