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» Density Estimation Using Mixtures of Mixtures of Gaussians
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SIGPRO
2002
86views more  SIGPRO 2002»
15 years 1 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
120
Voted
BMCBI
2010
140views more  BMCBI 2010»
15 years 1 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
ITCC
2003
IEEE
15 years 7 months ago
Cluster-Weighted Modeling as a basis for Fuzzy Modeling
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
Madasu Hanmandlu, Vamsi Krishna Madasu, Shantaram ...
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 3 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
SOCO
2008
Springer
15 years 1 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi