522 search results - page 32 / 105 » Dynamic Time-Alignment Kernel in Support Vector Machine |
108
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
107
Voted
ICRA
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, whic...
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
104
Voted
ML
2002
ACM
15 years 7 days ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
126
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TNN
2008
15 years 14 days ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...