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» On the Use of Evidence in Neural Networks
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IROS
2008
IEEE
141views Robotics» more  IROS 2008»
15 years 8 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
IJCNN
2007
IEEE
15 years 8 months ago
DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices
—Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area monitor and wide-are...
Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoor...
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
15 years 8 months ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
IJCNN
2007
IEEE
15 years 8 months ago
Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities
This paper describes the optimal tuning for the output limits of the power system stabilizer (PSS), which can improve the system damping performance immediately following a large d...
Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayag...
IJCNN
2006
IEEE
15 years 8 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh