3675 search results - page 64 / 735 » Support Vector Tracking |
82
Voted
NIPS
2004
15 years 2 months ago
2004
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
97
Voted
NAACL
2001
15 years 2 months ago
2001
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
114
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ESANN
2000
15 years 2 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
93
Voted
NIPS
1998
15 years 2 months ago
1998
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
112
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IJON
2006
15 years 25 days ago
2006
Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...