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» The complexity of estimating min-entropy
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INTERSPEECH
2010
14 years 7 months ago
Autoregressive clustering for HMM speech synthesis
The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregre...
Matt Shannon, William Byrne
77
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JCAMD
2010
92views more  JCAMD 2010»
14 years 7 months ago
Ligand docking and binding site analysis with PyMOL and Autodock/Vina
Docking of small molecule compounds into the binding site of a receptor and estimating the binding affinity of the complex is an important part of the structurebased drug design pr...
Daniel Seeliger, Bert L. de Groot
139
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TNN
2010
216views Management» more  TNN 2010»
14 years 7 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ICIP
2008
IEEE
16 years 2 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
105
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ICIP
1995
IEEE
16 years 2 months ago
A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method
In this paper, we address the problem of color image restoration. Here, we model the image as a Markov Random Field (MRF) and propose a restoration algorithm in a multiresolution ...
P. K. Nanda, K. Sunil Kumar, S. Ghokale, Uday B. D...