1272 search results - page 130 / 255 » Profile hidden Markov models |
165
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CDC
2008
IEEE
16 years 27 days ago
2008
IEEE
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
197
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CVIU
2006
15 years 6 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
159
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TIT
2008
15 years 6 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...
195
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CVPR
2007
IEEE
16 years 8 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...
139
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ICMCS
2007
IEEE
16 years 22 days 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...