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» Hidden Markov Models with Multiple Observation Processes
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ICAPR
2005
Springer
15 years 9 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama
ICASSP
2008
IEEE
15 years 10 months ago
Exploiting contextual information for improved phoneme recognition
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...
BMCBI
2007
160views more  BMCBI 2007»
15 years 4 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
ICIP
2005
IEEE
16 years 5 months ago
A man-machine communication system based on the visual analysis of dynamic gestures
A perceptual human-machine interface based on visual appearence of hand movements is presented. Gestures are defined as the temporal evolution of 3D poses the of user's hand....
Giulia Gastaldi, Alessandro Pareschi, Silvio P. Sa...
WSC
1997
15 years 5 months ago
Evaluating Embedded Decision Processes of Manufacturing Systems Through Simulation
This paper addresses the issues related to the decision processes of manufacturing system simulation. The manufacturing system is perceived in terms of intelligent entities capabl...
S. Cem Karacal