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120
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TIT
2008
15 years 3 months ago
2008
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
110
Voted
CAV
2007
Springer
15 years 10 months ago
2007
Springer
lued Abstraction for Continuous-Time Markov Chains⋆ Joost-Pieter Katoen1 , Daniel Klink1 , Martin Leucker2 , and Verena Wolf3 RWTH Aachen University1 , TU Munich2 , University of...
159
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
107
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ICMCS
2007
IEEE
15 years 10 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
173
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ECAI
2004
Springer
15 years 9 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...