25 search results - page 1 / 5 » Training SVMs Without Offset |
JMLR
2011
12 years 11 months ago
2011
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
TWC
2008
13 years 4 months ago
2008
Training signals for OFDM channel estimation should possess low PAR to avoid nonlinear distortions at the transmit amplifier and at the same time they should be robust against freq...
AINA
2004
IEEE
13 years 8 months ago
2004
IEEE
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
DAGM
2007
Springer
13 years 8 months ago
2007
Springer
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...