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» Aggregation-based model reduction of a Hidden Markov Model
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ACMSE
2005
ACM
14 years 27 days ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 9 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
ICDAR
2009
IEEE
14 years 2 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
MIAR
2010
IEEE
13 years 5 months ago
Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation
Clinicians are trained to manipulate a colonoscope while minimizing the force exerted on the colon walls to reduce the danger of luminal perforation and discomfort to the patient. ...
Jagadeesan Jayender, Raúl San José E...
RECOMB
2001
Springer
14 years 7 months ago
Applications of generalized pair hidden Markov models to alignment and gene finding problems
Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
Lior Pachter, Marina Alexandersson, Simon Cawley