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ICASSP
2008
IEEE
16 years 1 months ago
Modulation analysis of speech through orthogonal FIR filterbank optimization
Newborns must learn to structure incoming acoustic information into segments, words, phrases, etc., before they can start to learn language. This process is thought to rely on mod...
Jonathan Le Roux, Hirokazu Kameoka, Nobutaka Ono, ...
SMI
2008
IEEE
16 years 1 months ago
Polygonizing skeletal sheets of CT-scanned objects by partitioin of unity approximations
The skeletal structures of solid objects play an important role in medical and industrial applications. Given a volumetrically sampled solid object, our method extracts a nice-loo...
Yukie Nagai, Yutaka Ohtake, Kiwamu Kase, Hiromasa ...
213
Voted
TSP
2010
15 years 1 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
200
Voted
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
16 years 1 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
ATAL
2005
Springer
16 years 12 days ago
Thespian: using multi-agent fitting to craft interactive drama
There has been a growing interest in designing multi-agent based interactive dramas. A key research challenge faced in the design of these systems is to support open-ended user in...
Mei Si, Stacy Marsella, David V. Pynadath