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ICASSP
2011
IEEE
14 years 5 months ago
Learning non-parametric models of pronunciation
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Brian Hutchinson, Jasha Droppo
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 7 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 6 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ECML
2001
Springer
15 years 6 months ago
Discovering Admissible Simultaneous Equation Models from Observed Data
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
Takashi Washio, Hiroshi Motoda, Yuji Niwa
DAGM
2009
Springer
15 years 2 months ago
Realistic Depth Blur for Images with Range Data
Abstract. We present a system that allows for changing the major camera parameters after the acquisition of an image. Using the high dynamic range composition technique and additio...
Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolf...