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» Sparse LMS for system identification
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BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
13 years 6 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
TIT
2010
174views Education» more  TIT 2010»
13 years 28 days ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
BMCBI
2008
126views more  BMCBI 2008»
13 years 6 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
ICIP
2008
IEEE
14 years 8 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell
ICST
2010
IEEE
13 years 4 months ago
Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista
—Many factors are believed to increase the vulnerability of software system; for example, the more widely deployed or popular is a software system the more likely it is to be att...
Thomas Zimmermann, Nachiappan Nagappan, Laurie A. ...