190 search results - page 13 / 38 » Markov constraints: steerable generation of Markov sequences |
105
Voted
ISMB
1994
15 years 1 months ago
1994
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 ...
124
Voted
WINET
2010
14 years 10 months ago
2010
We consider a scenario where devices with multiple networking capabilities access networks with heterogeneous characteristics. In such a setting, we address the problem of effici...
124
Voted
ADMI
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
92
Voted
BMVC
2002
15 years 2 months ago
2002
We consider the problem of learning how a person's face behaves in a long video sequence, with the aim of synthesising convincing sequences demonstrating the same behaviours....
120
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KDD
2008
ACM
16 years 24 days ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...