2109 search results - page 72 / 422 » Vector Processing in Ada |
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
GRC
2008
IEEE
13 years 11 months ago
2008
IEEE
An adaptive and iterative LSSVR algorithm based on quadratic Renyi entropy is presented in this paper. LS-SVM loses the sparseness of support vector which is one of the important ...
BIBE
2008
IEEE
13 years 10 months ago
2008
IEEE
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
PR
2010
13 years 8 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Background modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced f...