92 search results - page 4 / 19 » Feature Selection for Density Level-Sets |
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
SCALESPACE
2001
Springer
13 years 12 months ago
2001
Springer
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
GRC
2008
IEEE
13 years 8 months ago
2008
IEEE
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
IJIT
2004
13 years 8 months ago
2004
Corrosion causes many failures in chemical process installations. These failures generate high costs, therefore an effective corrosion monitoring system obtrudes. This paper focuse...