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» Fuzzy Observable Markov Models for Pattern Recognition
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ICASSP
2010
IEEE
14 years 9 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
ECML
2006
Springer
15 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
ECCV
1994
Springer
15 years 1 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
15 years 3 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
MCS
2011
Springer
14 years 4 months ago
Endogenous cycles in discontinuous growth models
In this paper we consider a discontinuous one-dimensional piecewise linear model describing a neoclassical growth model. These kind of maps are widely used in the applied context....
Fabio Tramontana, Laura Gardini, Anna Agliari