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» On Reduction of Lagrange Systems
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CSL
2002
Springer
15 years 4 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
IJON
2000
71views more  IJON 2000»
15 years 4 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
JAIR
2002
120views more  JAIR 2002»
15 years 4 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
JMMA
2002
71views more  JMMA 2002»
15 years 4 months ago
Optimal Hierarchies for Quadrilateral Surfaces
Abstract. Multiresolution representation of quadrilateral surface approximation (MRQSA) is a useful representation for progressive graphics transmission in networks. Based on two r...
Kuo-Liang Chung, Wen-Ming Yan, Jung-Gen Wu
JSAC
1998
81views more  JSAC 1998»
15 years 4 months ago
Early Detection and Trellis Splicing: Reduced-Complexity Iterative Decoding
Abstract—The excellent bit error rate performance of new iterative decoding algorithms (e.g., turbodecoding) is achieved at the expense of a computationally burdensome decoding p...
Brendan J. Frey, Frank R. Kschischang