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» Detecting Human Motion with Support Vector Machines
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NIPS
2001
13 years 9 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Fast splice site detection using information content and feature reduction
Background: Accurate identification of splice sites in DNA sequences plays a key role in the prediction of gene structure in eukaryotes. Already many computational methods have be...
A. K. M. A. Baten, Saman K. Halgamuge, Bill C. H. ...
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
14 years 2 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ICASSP
2011
IEEE
12 years 11 months ago
A nativeness classifier for TED Talks
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...
Jose Lopes, Isabel Trancoso, Alberto Abad
ATS
2005
IEEE
100views Hardware» more  ATS 2005»
14 years 1 months ago
Finite State Machine Synthesis for At-Speed Oscillation Testability
In this paper, we propose an oscillation-based test methodology for sequential testing. This approach provides many advantages over traditional methods. (1) It is at-speed testing...
Katherine Shu-Min Li, Chung-Len Lee, Tagin Jiang, ...