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» On the design of robust classifiers for computer vision
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ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 25 days 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
BMVC
2002
13 years 10 months ago
Estimating Lighting Direction and Classifying Textures
The appearance of a rough surface is affected by the direction from which it is lit and texture classifiers should account for this. We propose a classifier that is robust to ligh...
Mike J. Chantler, Ged McGunnigle, A. Penirschke, M...
ECCV
2008
Springer
14 years 9 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof
CVPR
2008
IEEE
13 years 7 months ago
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
Duc-Son Pham, Svetha Venkatesh
CVPR
2009
IEEE
15 years 2 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...