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» The Necessity of Combining Adaptation Methods
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89
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ICASSP
2009
IEEE
15 years 7 months ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
98
Voted
ICMCS
2006
IEEE
157views Multimedia» more  ICMCS 2006»
15 years 6 months ago
A Context-Based Error Detection Strategy into H.264/AVC CABAC
Various error control schemes have been addressed in wireless video stream transmission. By combining an adaptive binary arithmetic coding technique with context modeling, CABAC a...
Yang Li, Hongkai Xiong, Li Song, Songyu Yu
91
Voted
NCA
2005
IEEE
15 years 6 months ago
Controlling the Coverage of Grid Information Dissemination Protocols
Grid information dissemination protocols distribute information about the dynamic state of computational resources throughout interconnected wide area Grids. Performance metrics f...
Bhavin Gandhi, Sameer Tilak, Michael J. Lewis, Nae...
127
Voted
VISUALIZATION
2000
IEEE
15 years 5 months ago
Semi-regular mesh extraction from volumes
We present a novel method to extract iso-surfaces from distance volumes. It generates high quality semi-regular multiresolution meshes of arbitrary topology. Our technique proceed...
Zoë J. Wood, Peter Schröder, David E. Br...
132
Voted
FUZZIEEE
2007
IEEE
15 years 4 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou