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» Neuro-Wavelet Parametric Modeling
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110
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ESWA
2007
117views more  ESWA 2007»
15 years 17 days ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
101
Voted
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
15 years 15 days ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
87
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RAS
2002
91views more  RAS 2002»
15 years 7 days ago
Foveated active tracking with redundant 2D motion parameters
This work presents a real-time active vision tracking system based on log-polar image motion estimation with 2D geometric deformation models. We present a very efficient parametri...
Alexandre Bernardino, José Santos-Victor, G...
JMLR
2010
153views more  JMLR 2010»
14 years 7 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum
124
Voted
ICASSP
2011
IEEE
14 years 4 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...