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ECML
2005
Springer
14 years 1 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
CGF
2008
101views more  CGF 2008»
13 years 8 months ago
Stereo Light Probe
In this paper we present a practical, simple and robust method to acquire the spatially-varying illumination of a real-world scene. The basic idea of the proposed method is to acq...
Massimiliano Corsini, Marco Callieri, Paolo Cignon...
ICPR
2006
IEEE
14 years 9 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh

Publication
200views
12 years 7 months ago
Tracking Endocardial Motion via Multiple Model Filtering of Distribution Cut
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. As such, accurate characterization of dynamic behavior of the left ventricle (LV) is esse...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Isl...
ICASSP
2009
IEEE
14 years 2 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri