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ICCS
2007
Springer
15 years 3 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
ICASSP
2011
IEEE
14 years 1 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ICA
2004
Springer
15 years 2 months ago
A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
Mika Inki
PRL
2006
117views more  PRL 2006»
14 years 9 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
BC
2008
67views more  BC 2008»
14 years 9 months ago
Information transmission in oscillatory neural activity
Periodic neural activity not locked to the stimulus or to motor responses is usually ignored. Here, we present newtoolsformodelingandquantifyingtheinformationtransmission based on ...
Kilian Koepsell, Friedrich T. Sommer