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ISCAS
2006
IEEE
107views Hardware» more  ISCAS 2006»
14 years 1 months ago
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
Cédric Archambeau, M. Valle, A. Assenza, Mi...
JMLR
2012
11 years 9 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting
JCST
2010
139views more  JCST 2010»
13 years 5 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
DICTA
2003
13 years 8 months ago
Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees
For many applied problems in the context of clustering via mixture models, the estimates of the component means and covariance matrices can be affected by observations that are at...
Shu-Kay Ng, Geoffrey J. McLachlan
ECCV
2006
Springer
14 years 9 months ago
Density Estimation Using Mixtures of Mixtures of Gaussians
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
Wael Abd-Almageed, Larry S. Davis