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» Computability of Models for Sequence Assembly
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148
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ISMB
1994
15 years 6 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
160
Voted
BMCBI
2005
114views more  BMCBI 2005»
15 years 5 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
DEDS
2008
87views more  DEDS 2008»
15 years 5 months ago
On-Line Monitoring of Large Petri Net Models Under Partial Observation
This paper deals with the on-line monitoring of large systems modeled as Petri Nets under partial observation. The plant observation is given by a subset of transitions whose occu...
George Jiroveanu, René K. Boel, Behzad Bord...
CVPR
2007
IEEE
16 years 7 months ago
Capturing long-range correlations with patch models
The use of image patches to capture local correlations between pixels has been growing in popularity for use in various low-level vision tasks. There is a trade-off between using ...
Vincent Cheung, Nebojsa Jojic, Dimitris Samaras
ACIVS
2008
Springer
15 years 11 months ago
Crowd Behavior Recognition for Video Surveillance
Abstract. Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection a...
Shobhit Saxena, François Brémond, Mo...