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ICANN
2007
Springer
15 years 4 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi
ICMCS
2006
IEEE
138views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Perceptual Sharpness Metric (PSM) for Compressed Video
Sharpness, one of the most effective factors in video quality assessment, usually dominates the first impression of the representation of the compressed video or image signals. I...
Kai-Chieh Yang, Clark C. Guest, Pankaj K. Das
FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
15 years 1 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal
FSMNLP
2008
Springer
14 years 11 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
PDPTA
2003
14 years 11 months ago
TORNADO: A Novel Input Replay Tool
This paper presents TORNADO, a unique input replay tool based on system call replay. It is capable of tracing program executions with an acceptable overhead of less than a factor 2...
Frank Cornelis, Michiel Ronsse, Koenraad De Bossch...