447 search results - page 9 / 90 » Choosing Multiple Parameters for Support Vector Machines |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
IWANN
1999
Springer
14 years 22 hour ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
NIPS
2004
13 years 9 months ago
2004
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
FLAIRS
2003
13 years 9 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...