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EMNLP
2009
15 years 4 months ago
Natural Language Generation with Tree Conditional Random Fields
This paper presents an effective method for generating natural language sentences from their underlying meaning representations. The method is built on top of a hybrid tree repres...
Wei Lu, Hwee Tou Ng, Wee Sun Lee
ICML
1997
IEEE
16 years 7 months ago
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Christopher G. Atkeson, Stefan Schaal
CVPR
2010
IEEE
1208views Computer Vision» more  CVPR 2010»
16 years 3 months ago
Visual Tracking Decomposition
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time....
Junseok Kwon (Seoul National University), Kyoung M...
WWW
2010
ACM
16 years 1 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
CW
2008
IEEE
16 years 1 months ago
Bi-Manual Interactive Tools for Cultural Heritage Researchers
The availability of intuitive, user-friendly and specialized software to work with 3D models of cultural heritage artifacts is as important as the availability of low-cost and rob...
Can Ozmen, Selim Balcisoy