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» Adaptive Kernel Methods Using the Balancing Principle
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ICASSP
2010
IEEE
13 years 7 months ago
Near-field adaptive beamforming and source localization in the spacetime frequency domain
We revisit the topics of near-field adaptive beamforming and source localization following an alternative approach based on a spatiotemporal spectral representation of the acoust...
Francisco Pinto, Martin Vetterli
TNN
2011
200views more  TNN 2011»
13 years 2 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
AROBOTS
2002
98views more  AROBOTS 2002»
13 years 7 months ago
Dynamically-Stable Motion Planning for Humanoid Robots
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
IJCNN
2006
IEEE
14 years 1 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
SIGGRAPH
1990
ACM
13 years 11 months ago
Adaptive mesh generation for global diffuse illumination
Rapid developments in the design of algorithms for rendering globally illuminated scenes have taken place in the past five years. Net energy methods such as the hemicube and other...
A. T. Campbell III, Donald S. Fussell