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NAR
1998
86views more  NAR 1998»
15 years 3 months ago
Pfam: multiple sequence alignments and HMM-profiles of protein domains
Pfam contains multiple alignments and hidden Markov model based profiles (HMM-profiles) of complete protein domains. The definition of domain boundaries, family members and alignm...
Erik L. L. Sonnhammer, Sean R. Eddy, Ewan Birney, ...
ICPR
2008
IEEE
15 years 10 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
124
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ISVC
2005
Springer
15 years 9 months ago
Multi-aspect Target Tracking in Image Sequences Using Particle Filters
This paper addresses the issue of multi-aspect target tracking where target’s aspect is modeled by a continuous-valued affine model. The affine parameters are assumed to follow ...
Li Tang, Vijay Venkataraman, Guoliang Fan
FLAIRS
2004
15 years 5 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
15 years 10 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura