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IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 4 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
ECCV
2008
Springer
15 years 12 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
73
Voted
ATAL
2005
Springer
15 years 3 months ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
NORDICHI
2004
ACM
15 years 3 months ago
Adaptivity in speech-based multilingual e-mail client
In speech interfaces users must be aware what can be done with the system – in other words, the system must provide information to help the users to know what to say. We have ad...
Esa-Pekka Salonen, Mikko Hartikainen, Markku Turun...
95
Voted
IJON
1998
158views more  IJON 1998»
14 years 9 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu