235 search results - page 33 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
205
Voted
SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
196
Voted
JMLR
2010
15 years 1 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
189
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ALT
2003
Springer
16 years 3 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
176
Voted
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
168
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...