Wavelet Time Shift Properties Integration with Support Vector Machines

Details Wavelet Time Shift Properties Integration with Support Vector Machines Wavelet Time Shift Properties Integration with Support Vector Machines

2005-05-20

arxiv.org/abs/cs/0505053v1

LNAI-3131 Modeling Decisions for Artificial Intelligence, ISSN 0302-9743, p49-59, Barcelona, Spain, August-2004

Computer Science

Information Retrieval

11 pages

Scientific paper

This paper presents a short evaluation about the integration of information derived from wavelet non-linear-time-invariant (non-LTI) projection properties using Support Vector Machines (SVM). These properties may give additional information for a classifier trying to detect known patterns hidden by noise. In the experiments we present a simple electromagnetic pulsed signal recognition scheme, where some improvement is achieved with respect to previous work. SVMs are used as a tool for information integration, exploiting some unique properties not easily found in neural networks.

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