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» Using model knowledge for learning inverse dynamics
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126
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TIST
2011
136views more  TIST 2011»
14 years 9 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih
98
Voted
ECTEL
2007
Springer
15 years 8 months ago
Enabling Project-Centred Learning through Flexible Processes: the COOPER Experience
This paper proposes a model-driven, extensible platform, delivered on the Web, which is able to support long-distance collaboration of students’ teams working on complex projects...
Stefano Ceri, Florian Daniel, Maristella Matera, A...
IDA
2003
Springer
15 years 7 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
135
Voted
ICCV
2009
IEEE
16 years 7 months ago
Learning Deformable Action Templates from Crowded Videos
In this paper, we present a Deformable Action Template (DAT) model that is learnable from cluttered real-world videos with weak supervisions. In our generative model, an action ...
Benjamin Yao, Song-Chun Zhu
135
Voted
SIGKDD
2002
232views more  SIGKDD 2002»
15 years 2 months ago
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign d...
Victor S. Y. Lo