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NECO
2002
104views more  NECO 2002»
15 years 4 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
PR
1998
86views more  PR 1998»
15 years 4 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
TASLP
2002
124views more  TASLP 2002»
15 years 4 months ago
Automatic speech recognition performance on a voicemail transcription task
Abstract--In this paper, we report on the performance of automatic speech recognition (ASR) systems on voicemail transcription. Voicemail is spontaneous telephone speech recorded o...
Mukund Padmanabhan, George Saon, Jing Huang, Brian...
TOG
2002
108views more  TOG 2002»
15 years 4 months ago
Motion graphs
In this paper we present a novel method for creating realistic, controllable motion. Given a corpus of motion capture data, we automatically construct a directed graph called a mo...
Lucas Kovar, Michael Gleicher, Frederic H. Pighin
VLSISP
2002
139views more  VLSISP 2002»
15 years 4 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal