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IJHR
2008
119views more  IJHR 2008»
13 years 9 months ago
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Tamim Asfour, Pedram Azad, Florian Gyarfas, Rü...
PVLDB
2008
85views more  PVLDB 2008»
13 years 8 months ago
Scalable ad-hoc entity extraction from text collections
Supporting entity extraction from large document collections is important for enabling a variety of important data analysis tasks. In this paper, we introduce the "ad-hoc&quo...
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaud...
ICML
2007
IEEE
14 years 9 months ago
Robust multi-task learning with t-processes
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Shipeng Yu, Volker Tresp, Kai Yu
MVA
2007
13 years 10 months ago
Semi-supervised Incremental Learning of Manipulative Tasks
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sa...
CVPR
2008
IEEE
14 years 11 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell