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TROB
2010
159views more  TROB 2010»
14 years 6 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
SAC
2008
ACM
14 years 11 months ago
Towards a complete SCM ontology: the case of ontologising RosettaNet
This paper presents a methodology to derive a Supply Chain Management Ontology based on the RosettaNet specification framework. A prototype to mechanically derive a core ontology ...
Armin Haller, Jedrzej Gontarczyk, Paavo Kotinurmi
ML
2006
ACM
14 years 11 months ago
Adaptive game AI with dynamic scripting
Pieter Spronck, Marc J. V. Ponsen, Ida G. Sprinkhu...
CVPR
2012
IEEE
13 years 2 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2008
IEEE
16 years 1 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell