2190 search results - page 42 / 438 » Mixtures of Gaussian Processes |
149
Voted
BMEI
2009
IEEE
15 years 4 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
156
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
111
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IDA
2007
Springer
15 years 3 months ago
2007
Springer
The performance of K-means and Gaussian mixture model (GMM) clustering depends on the initial guess of partitions. Typically, clus∗ corresponding author 1
120
Voted
IDEAL
2004
Springer
15 years 9 months ago
2004
Springer
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
129
Voted
PAMI
1998
15 years 3 months ago
1998
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...