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» On Combining Multiple Classifiers Using an Evidential Approa...
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182
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ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
15 years 9 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
121
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IDEAL
2000
Springer
15 years 7 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
148
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PAMI
2008
270views more  PAMI 2008»
15 years 3 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
ISCAS
2002
IEEE
149views Hardware» more  ISCAS 2002»
15 years 8 months ago
Adaptive end-to-end optimization of mobile video streaming using QoS negotiation
Video streaming over wireless links is a non-trivial problem due to the large and frequent changes in the quality of the underlying radio channel combined with latency constraints...
Jacco R. Taal, Koen Langendoen, Arjen van der Scha...
131
Voted
CEC
2007
IEEE
15 years 10 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar