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ESWA
2006

103views more ESWA 2006»

Model gene network by semi-fixed Bayesian network

14 years 9 months ago

Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...

Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal

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100

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TASLP
2011

265views Software Engineering» more TASLP 2011»

A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models

14 years 4 months ago

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—We present a simple and efﬁcient feature modeling approach for tracking the pitch of two simultaneously active speakers. We model the spectrogram features of single speakers u...

Michael Wohlmayr, Michael Stark, Franz Pernkopf

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92

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BMCBI
2004

208views more BMCBI 2004»

Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures

14 years 9 months ago

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Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...

Vadim Alexandrov, Mark Gerstein

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98

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ICCV
2007
IEEE

203views Computer Vision» more ICCV 2007»

Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics

14 years 11 months ago

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The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...

Michel François Valstar, Maja Pantic

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61

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AIED
2007
Springer

113views Artificial Intelligence» more AIED 2007»

Modeling learning patterns of students with a tutoring system using Hidden Markov Models

15 years 4 months ago