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» Combining Methods for Dynamic Multiple Classifier Systems
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ICCV
2007
IEEE
15 years 6 months ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
ICBA
2004
Springer
205views Biometrics» more  ICBA 2004»
15 years 5 months ago
Combining Fingerprint and Voiceprint Biometrics for Identity Verification: an Experimental Comparison
Combining multiple biometrics may enhance the performance of personal authentication system in accuracy and reliability. In this paper, we compare 13 combination methods in the con...
Yuan Wang, Yunhong Wang, Tieniu Tan
IJCAI
2003
15 years 1 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
90
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ICASSP
2011
IEEE
14 years 4 months ago
Multistream speaker diarization through Information Bottleneck system outputs combination
Speaker diarization of meetings recorded with Multiple Distant Microphones makes extensive use of multiple feature streams like MFCC and Time Delay of Arrivals (TDOA). Typically t...
Deepu Vijayasenan, Fabio Valente, Petr Motlí...
SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
15 years 6 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock