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» Combining Methods for Dynamic Multiple Classifier Systems
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89
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ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
110
Voted
ICPR
2010
IEEE
15 years 4 months ago
Boolean Combination of Classifiers in the ROC Space
Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system o...
Wael Khreich, Eric Granger, Ali Miri, R. Sabourin
ICPR
2002
IEEE
16 years 1 months ago
Integrated Event Recognition from Multiple Sources
This paper proposes a system architecture for event recognition that integrates information from multiple sources (e.g., gesture and speech recognition from distributed sensors in...
Hiroaki Kawashima, Takashi Matsuyama
176
Voted
IEEEMSP
2002
IEEE
181views Multimedia» more  IEEEMSP 2002»
15 years 5 months ago
Combining stereo and visual hull information for on-line reconstruction and rendering of dynamic scenes
—In this paper, we present a novel system which combines depth-from-stereo and visual hull reconstruction for acquiring dynamic real-world scenes at interactive rates. First, we ...
Hartmut Schirmacher, Ming Li, Marcus A. Magnor, Ha...
115
Voted
KDD
2002
ACM
164views Data Mining» more  KDD 2002»
16 years 23 days ago
Meta-classification: Combining Multimodal Classifiers
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
Wei-Hao Lin, Alexander G. Hauptmann