100 search results - page 1 / 20 » Efficient subset selection based on the Renyi entropy |
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
GRC
2008
IEEE
13 years 5 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 ...
PKDD
2007
Springer
13 years 10 months ago
2007
Springer
A relevance filter is proposed which removes features based on the mutual information between class labels and features. It is proven that both feature independence and class condi...
ISNN
2004
Springer
13 years 10 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Presenting more comprehensive information than key frame and any subset of frames, mosaic has attracted a growing attention in recent years as a useful element for a variety of vi...