406 search results - page 27 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
141
click to vote
ICASSP
2009
IEEE
16 years 20 days ago
2009
IEEE
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
148
click to vote
NIPS
1996
15 years 7 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
140
click to vote
ICASSP
2009
IEEE
16 years 20 days ago
2009
IEEE
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...
167
click to vote
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
159
Voted
ICIP
2000
IEEE
15 years 10 months ago
2000
IEEE
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called local co...