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» Combining Gaussian Mixture Models
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CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 10 months ago
Settling the Polynomial Learnability of Mixtures of Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running ...
Ankur Moitra, Gregory Valiant
CVPR
2000
IEEE
15 years 11 months ago
Mixture Models and the Segmentation of Multimodal Textures
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
Roberto Manduchi
SIGPRO
2002
86views more  SIGPRO 2002»
14 years 9 months ago
Wavelets, Gaussian mixtures and Wiener filtering
In this work we discuss an improvement of the image-denoising wavelet-based method presented by [1]. This method is based on the estimation of the signal power at each wavelet sca...
Albert Bijaoui
SSPR
2010
Springer
14 years 8 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
INFORMATICALT
2000
79views more  INFORMATICALT 2000»
14 years 9 months ago
Influence of Projection Pursuit on Classification Errors: Computer Simulation Results
Abstract. Influence of projection pursuit on classification errors and estimates of a posteriori probabilities from the sample is considered. Observed random variable is supposed t...
Gintautas Jakimauskas, Ricardas Krikstolaitis