Hidden Markov models training using population-based metaheuristics
S Aupetit, N Monmarché, M Slimane - Advances in metaheuristics for hard …, 2008 - Springer
In this chapter, we consider the issue of Hidden Markov Model (HMM) training. First, HMMs
are introduced and then we focus on the particular HMM training problem. We emphasize …
are introduced and then we focus on the particular HMM training problem. We emphasize …
Similarity measures for content-based audio retrieval
M Helen - 2009 - researchportal.tuni.fi
Personal multimedia databases contain thousands of items and other databases on the
Internet may contain even billions of items. Finding a particular item manually from such …
Internet may contain even billions of items. Finding a particular item manually from such …
[图书][B] The challenge of personalisation and mobility: COST# 276
JF Tasic, U Burnik - 2003 - ieeexplore.ieee.org
The classical terms of communications, informatics and broadcasting face convergence to a
unified information platform. The challenge of COST 276 Action, dedicated to user friendly …
unified information platform. The challenge of COST 276 Action, dedicated to user friendly …
[PDF][PDF] Comparison of discrete and continuous bio-inspired metaheuristics for HMM likelihood maximization
S Aupetit, N Monmarché, M Slimane - International Journal of …, 2008 - academia.edu
In this paper, we present a comparative analysis of three population-based and bio-inspired
metaheuristics for the Hidden Markov Model (HMM) likelihood maximization problem. After a …
metaheuristics for the Hidden Markov Model (HMM) likelihood maximization problem. After a …
[PDF][PDF] Fourmis artificielles, des bases algorithmiques aux concepts et réalisations avancés
Les modèles de Markov cachés sont des outils statistiques permettant de modéliser des
phénomènes temporels (un signal, une série...) sous la forme de processus stochastiques …
phénomènes temporels (un signal, une série...) sous la forme de processus stochastiques …
[引用][C] The use of hidden markov models for image recognition: learning with artificial ants, genetic algorithms and particle swarm optimization
S Aupetit, N Monmarché… - Optimization in Signal and …, 2009 - Wiley Online Library
The Use of Hidden Markov Models for Image Recognition: Learning with Artificial Ants, Genetic
Algorithms and Particle Swarm Opti Page 1 Chapter 9 The Use of Hidden Markov Models for …
Algorithms and Particle Swarm Opti Page 1 Chapter 9 The Use of Hidden Markov Models for …