773 search results - page 30 / 155 » Kernel Change-point Analysis |
115
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Mika et al. [3] introduce a non-linear formulation of Fisher's linear discriminant, based the now familiar "kernel trick", demonstrating state-of-the-art performanc...
159
Voted
ECCV
2004
Springer
16 years 5 months ago
2004
Springer
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
130
Voted
IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
142
Voted
CDC
2009
IEEE
15 years 7 months ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
125
Voted
CIBB
2008
15 years 5 months ago
2008
Abstract. We evaluated methods of protein classification that use kernels built from BLAST output parameters. Protein sequences were represented as vectors of parameters (e.g. simi...