618 search results - page 26 / 124 » Content-Based Video Classification Using Support Vector Mach... |
JMLR
2008
13 years 8 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
ML
2002
ACM
13 years 8 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
ISBI
2008
IEEE
14 years 9 months ago
2008
IEEE
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
AAAI
2008
13 years 11 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...