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MICAI
2009
Springer
14 years 3 months ago
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Julio H. Zaragoza, Eduardo F. Morales
AAAI
2008
13 years 11 months ago
Learning Grasp Strategies with Partial Shape Information
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng
WSCG
2001
86views more  WSCG 2001»
13 years 10 months ago
Object-Centered Navigation in Virtual Construction Applications
In this paper we present a novel concept for navigation in virtual environments. While a variety of navigation metaphors have been proposed for immersive VR, desktop scenarios are...
Colette Elcacho, Thomas Dingel, Reinhard Klein
ICASSP
2009
IEEE
14 years 3 months ago
Covariate shift adaptation for semi-supervised speaker identification
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of nonstationarity such as session dependent variation, the reco...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
ICASSP
2009
IEEE
14 years 3 months ago
Minimum variance modulation filter for robust speech recognition
This paper describes a way of designing modulation filter by datadriven analysis which improves the performance of automatic speech recognition systems that operate in real envir...
Yu-Hsiang Bosco Chiu, Richard M. Stern