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ICASSP
2010
IEEE
13 years 8 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 8 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
AGIS
2008
319views more  AGIS 2008»
13 years 8 months ago
An Efficient Algorithm for Raster-to-Vector Data Conversion
Data conversion from raster to vector (R2V) is a key function in Geographic Information Systems (GIS) and remote sensing (RS) image processing for integrating GIS and RS data. The...
Junhua Teng, Fahui Wang, Yu Liu
ALIFE
2008
13 years 8 months ago
A Model of the Quorum Sensing System in Vibrio fischeri Using P Systems
Quorum sensing is a cell density dependent gene regulation system that allows an entire population of bacterial cells to communicate in order to regulate the expression of certain ...
Francisco José Romero-Campero, Mario J. P&e...
BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
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