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ICCV
2009
IEEE
15 years 1 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
CVPR
2005
IEEE
14 years 11 months ago
Random Subspaces and Subsampling for 2-D Face Recognition
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
Nitesh V. Chawla, Kevin W. Bowyer
CVPR
2005
IEEE
14 years 11 months ago
Random Subwindows for Robust Image Classification
We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified usin...
Justus H. Piater, Louis Wehenkel, Pierre Geurts, R...
ICIP
2003
IEEE
14 years 10 months ago
Efficient frame vector selection based on ordered sets
The problem of finding the optimal set of quantized coefficients for a frame-based encoded signal is known to be of very high complexity. This paper presents an efficient method o...
Tom Ryen, Guido M. Schuster, Aggelos K. Katsaggelo...
ICPR
2008
IEEE
14 years 10 months ago
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acou...
Anupam Basu, Gaurav Garg, Pabitra Mitra, Pratyush ...