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» Frame domain signal processing: Framework and applications
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94
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ICASSP
2009
IEEE
15 years 7 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
92
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Composite hypothesis testing by optimally distinguishable distributions
Relying on optimally distinguishable distributions (ODD), it was defined very recently a new framework for the composite hypothesis testing. We resort to the linear model to inve...
Seyed Alireza Razavi, Ciprian Doru Giurcaneanu
ICASSP
2009
IEEE
14 years 10 months ago
Volterra series for analyzing MLP based phoneme posterior estimator
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...
Joel Pinto, Garimella S. V. S. Sivaram, Hynek Herm...
133
Voted
IJIIDS
2008
201views more  IJIIDS 2008»
15 years 16 days ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
AVSS
2008
IEEE
15 years 7 months ago
Automatic Detection of Adverse Weather Conditions in Traffic Scenes
Visual surveillance in outdoor environments requires the monitoring of both objects and events. The analysis is generally driven by the target application which, in turn, determin...
Andrea Lagorio, Enrico Grosso, Massimo Tistarelli