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NPL
1998
135views more  NPL 1998»
14 years 9 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
PAMI
1998
87views more  PAMI 1998»
14 years 9 months ago
Learning Local Languages and Their Application to DNA Sequence Analysis
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
Takashi Yokomori, Satoshi Kobayashi
TCAD
1998
82views more  TCAD 1998»
14 years 9 months ago
LOT: Logic Optimization with Testability. New transformations for logic synthesis
—A new approach to optimize multilevel logic circuits is introduced. Given a multilevel circuit, the synthesis method optimizes its area while simultaneously enhancing its random...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...
CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
15 years 6 months ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
14 years 8 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...