990 search results - page 114 / 198 » Learning with non-positive kernels |
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
GBRPR
2007
Springer
15 years 1 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In the framework of the interactive search in image databases, we are interested in similarity measures able to learn during the search and usable in real-time. Images are represe...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...