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NIPS
2004
15 years 1 months ago
Hierarchical Clustering of a Mixture Model
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...
Jacob Goldberger, Sam T. Roweis
ICASSP
2008
IEEE
15 years 6 months ago
Video denoising using a spatiotemporal statistical model of wavelet coefficients
We propose a video denoising algorithm based on a spatiotemporal Gaussian scale mixture (ST-GSM) model in the wavelet transform domain. This model simultaneously captures local co...
Gijesh Varghese, Zhou Wang
ICASSP
2011
IEEE
14 years 3 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
INFORMATICALT
2000
79views more  INFORMATICALT 2000»
14 years 11 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
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 6 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro