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» Learning Relational Grammars from Sequences of Actions
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PAMI
2011
14 years 16 days ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
IUI
1997
ACM
15 years 1 months ago
Inductive Task Modeling for User Interface Customization
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
David Maulsby
MLMI
2007
Springer
15 years 3 months ago
Automatic Annotation of Dialogue Structure from Simple User Interaction
Abstract. In [1], we presented a method for automatic detection of action items from natural conversation. This method relies on supervised classification techniques that are trai...
Matthew Purver, John Niekrasz, Patrick Ehlen
CORR
2007
Springer
170views Education» more  CORR 2007»
14 years 9 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
ANLP
1997
103views more  ANLP 1997»
14 years 11 months ago
The NLP Role in Animated Conversation for CALL
Language learning is a relatively new application for natural language processing (NLP) and for intelligent tutoring and learning environments (ITLEs). NLP has a crucial role to p...
Michael Schoelles, Henry Hamburger