976 search results - page 47 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
168
click to vote
NIPS
2008
15 years 7 months ago
2008
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
153
click to vote
ECAI
2004
Springer
15 years 11 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
154
click to vote
ICCV
2001
IEEE
16 years 8 months ago
2001
IEEE
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
157
Voted
ICONIP
1998
15 years 7 months ago
1998
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
166
click to vote
IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...