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CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
14 years 2 months ago
Dynamical structure analysis of sparsity and minimality heuristics for reconstruction of biochemical networks
— Network reconstruction, i.e. obtaining network structure from input-output information, is a central theme in systems biology. A variety of approaches aim to obtaining structur...
Russell Howes, Lee John Eccleston, Jorge M. Goncal...
EJASP
2010
89views more  EJASP 2010»
13 years 2 months ago
Sparsity-Aware Estimation of CDMA System Parameters
The number of active users, their timing offsets, and their (possibly dispersive) channels with the access point are decisive parameters for wireless code division multiple access...
Daniele Angelosante, Emanuele Grossi, Georgios B. ...
NIPS
2003
13 years 9 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile
TASLP
2010
118views more  TASLP 2010»
13 years 6 months ago
Time-Frequency Sparsity by Removing Perceptually Irrelevant Components Using a Simple Model of Simultaneous Masking
Abstract—We present an algorithm for removing timefrequency components, found by a standard Gabor transform, of a “real-world” sound while causing no audible difference to th...
Péter Balázs, Bernhard Laback, Gerha...
MM
2009
ACM
217views Multimedia» more  MM 2009»
14 years 2 months ago
Label to region by bi-layer sparsity priors
In this work, we investigate how to automatically reassign the manually annotated labels at the image-level to those contextually derived semantic regions. First, we propose a bi-...
Xiaobai Liu, Bin Cheng, Shuicheng Yan, Jinhui Tang...