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» Qualitative Map Learning Based on Co-visibility of Objects
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IROS
2008
IEEE
230views Robotics» more  IROS 2008»
14 years 1 months ago
Visual recognition of grasps for human-to-robot mapping
— This paper presents a vision based method for grasp classification. It is developed as part of a Programming by Demonstration (PbD) system for which recognition of objects and...
Hedvig Kjellström, Javier Romero, Danica Krag...
KBS
2006
105views more  KBS 2006»
13 years 7 months ago
Robot docking based on omnidirectional vision and reinforcement learning
We present a system for visual robotic docking using an omnidirectional camera coupled with the actor critic reinforcement learning algorithm. The system enables a PeopleBot robot...
David Muse, Cornelius Weber, Stefan Wermter
NIPS
1998
13 years 8 months ago
Example-Based Image Synthesis of Articulated Figures
We present a method for learning complex appearance mappings, such as occur with images of articulated objects. Traditional interpolation networks fail on this case since appearan...
Trevor Darrell
ICASSP
2011
IEEE
12 years 11 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
ICML
2010
IEEE
13 years 8 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller