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» On Combining Classifiers
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AVBPA
2001
Springer
128views Biometrics» more  AVBPA 2001»
14 years 1 months ago
Fingerprint Classification with Combinations of Support Vector Machines
Abstract. We report about some experiments on the fingerprint database NIST-4 using different combinations of Support Vector Machine (SVM) classifiers. Images have been preprocesse...
Yuan Yao, Paolo Frasconi, Massimiliano Pontil
ICPR
2006
IEEE
14 years 11 months ago
Improving human activity detection by combining multi-dimensional motion descriptors with boosting
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
ACCV
2007
Springer
14 years 4 months ago
Combined Object Detection and Segmentation by Using Space-Time Patches
This paper presents a method for classifying the direction of movement and for segmenting objects simultaneously using features of space-time patches. Our approach uses vector quan...
Yasuhiro Murai, Hironobu Fujiyoshi, Takeo Kanade
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Combining Caption and Visual Features for Semantic Event Classification of Baseball Video
In baseball game, an event is defined as the portion of video clip between two pitches, and a play is defined as a batter finishing his plate appearance. A play is a concatenation...
Wen-Nung Lie, Sheng-Hsiung Shia
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard