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» From Mixtures of Mixtures to Adaptive Transform Coding
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CORR
2008
Springer
84views Education» more  CORR 2008»
14 years 11 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
16 years 1 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
14 years 3 months 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»
15 years 5 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
15 years 5 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...