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ESANN
2007
13 years 9 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville
ICML
2007
IEEE
14 years 8 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
ICMCS
2006
IEEE
166views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Voice Activity Detection with Generalized Gamma Distribution
In this work, we model speech samples with the generalized Gamma distribution and evaluate the efficiency of such modelling for voice activity detection. Using a computationally i...
George Almpanidis, Constantine Kotropoulos
ICDAR
1999
IEEE
13 years 11 months ago
Heeding More Than the Top Template
We present a method of classifying a pattern using information furnished by a ranked list of templates, rather than just the best matching template. We propose a parsimonious mode...
Prateek Sarkar, George Nagy
ICASSP
2011
IEEE
12 years 11 months ago
Online feature selection and classification
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
Habil Kalkan, Bayram Cetisli