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» From Mixtures of Mixtures to Adaptive Transform Coding
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CORR
2008
Springer
84views Education» more  CORR 2008»
13 years 8 months ago
Message-Passing Decoding of Lattices Using Gaussian Mixtures
A belief-propagation decoder for low-density lattice codes, which represents messages explicitly as a mixture of Gaussians functions, is given. In order to prevent the mixture elem...
Brian M. Kurkoski, Justin Dauwels
ICCV
2007
IEEE
14 years 10 months ago
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
Özlem N. Subakan, Bing Jian, Baba C. Vemuri, ...
ICASSP
2011
IEEE
13 years 15 days ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
ISCAS
2007
IEEE
241views Hardware» more  ISCAS 2007»
14 years 3 months ago
Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
— In this paper, a modified version of the complex directional pyramid (PDTDFB) is proposed. Unlike the previous approach, the new FB provides an approximately tight-frame decom...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
ISBI
2007
IEEE
14 years 3 months ago
A Continuous Mixture of Tensors Model for Diffusion-Weighted Mr Signal Reconstruction
Diffusion MRI is a non-invasive imaging technique that allows the measurement of water molecular diffusion through tissue in vivo. In this paper, we present a novel statistical mo...
Bing Jian, Baba C. Vemuri, Evren Özarslan, Pa...