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» Reconstructing Boolean Models of Signaling
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ICASSP
2008
IEEE
15 years 3 months ago
Insights into the stable recovery of sparse solutions in overcomplete representations using network information theory
In this paper, we examine the problem of overcomplete representations and provide new insights into the problem of stable recovery of sparse solutions in noisy environments. We es...
Yuzhe Jin, Bhaskar D. Rao
ICASSP
2011
IEEE
14 years 1 months ago
Sensing-aware classification with high-dimensional data
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkat...
BMCBI
2005
178views more  BMCBI 2005»
14 years 9 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
ICIP
2004
IEEE
15 years 11 months ago
Minimizing a weighted error criterion for spatial error concealment of missing image data
In this contribution we present an algorithm for spatial error concealment of lost image data caused by transmission of images in error prone environments. The surrounding correct...
André Kaup, Katrin Meisinger
ICASSP
2009
IEEE
15 years 4 months ago
Design of oversampled DFT modulated filter banks optimized for acoustic echo cancellation
This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements...
Qin Li, Wei-Ge Chen, Chao He, Henrique S. Malvar