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» Density Estimation by Mixture Models with Smoothing Priors
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ECCV
2010
Springer
13 years 9 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
CSDA
2010
208views more  CSDA 2010»
13 years 8 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
13 years 10 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
ICA
2007
Springer
14 years 2 months ago
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by ...
Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D...
CSL
1998
Springer
13 years 8 months ago
Model parameter estimation for mixture density polynomial segment models
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...
Toshiaki Fukada, Kuldip K. Paliwal, Yoshinori Sagi...