153 search results - page 2 / 31 » Learning a Continuous Hidden Variable Model for Binary Data |
UAI
2001
13 years 6 months ago
2001
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
ICIP
1995
IEEE
14 years 6 months ago
1995
IEEE
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
IDEAL
2000
Springer
13 years 8 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
MLMI
2004
Springer
13 years 10 months ago
2004
Springer
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it po...
PAMI
2006
13 years 5 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...