59 search results - page 4 / 12 » Bayesian Hierarchical Mixtures of Experts |
129
Voted
DSP
2007
14 years 11 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
80
Voted
ECIR
2009
Springer
15 years 8 months ago
2009
Springer
Previous research on automatic image annotation has shown that accurate estimates of the class conditional densities in generative models have a positive effect in annotation perf...
94
Voted
EMNLP
2007
15 years 1 months ago
2007
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
NN
2002
Springer
14 years 11 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...