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» Transformations of Gaussian Process Priors
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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...
TSP
2010
14 years 6 months ago
Noninvertible gabor transforms
Abstract--Time-frequency analysis, such as the Gabor transform, plays an important role in many signal processing applications. The redundancy of such representations is often dire...
Ewa Matusiak, Tomer Michaeli, Yonina C. Eldar
ASPLOS
2009
ACM
15 years 3 months ago
Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA
Optical Quadrature Microscopy (OQM) is a process which uses phase data to capture information about the sample being studied. OQM is part of an imaging framework developed by the ...
Perhaad Mistry, Sherman Braganza, David R. Kaeli, ...
CVPR
2006
IEEE
16 years 1 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky
CVPR
2007
IEEE
16 years 1 months ago
Free-Form Nonrigid Image Registration Using Generalized Elastic Nets
We introduce a novel probabilistic approach for nonparametric nonrigid image registration using generalized elastic nets, a model previously used for topographic maps. The idea of...
Andriy Myronenko, Miguel Á. Carreira-Perpi&...