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BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
MODELS
2009
Springer
15 years 4 months ago
On Better Understanding OCL Collections or An OCL Ordered Set Is Not an OCL Set
Abstract. Modeling languages like UML or EMF support textual constraints written in OCL. OCL allows the developer to use various collec
Fabian Büttner, Martin Gogolla, Lars Hamann, ...
ACL
2010
14 years 7 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
91
Voted
PRL
2002
94views more  PRL 2002»
14 years 9 months ago
A hierarchical tag-graph search scheme with layered grammar rules for spontaneous speech understanding
It has always been difficult for language understanding systems to handle spontaneous speech with satisfactory robustness, primarily due to such problems as the fragments, disflue...
Bor-shen Lin, Berlin Chen, Hsin-Min Wang, Lin-Shan...
108
Voted
TIP
2010
119views more  TIP 2010»
14 years 4 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...