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» Algorithms for Large, Sparse Network Alignment Problems
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DCC
2003
IEEE
14 years 7 months ago
Optimal Alphabet Partitioning for Semi-Adaptive Coding of Sources of Unknown Sparse Distributions
Practical applications that employ entropy coding for large alphabets often partition the alphabet set into two or more layers and encode each symbol by using some suitable prefix...
Dan Chen, Yi-Jen Chiang, Nasir D. Memon, Xiaolin W...
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 6 months ago
Cooperative Algorithms for MIMO Interference Channels
Interference alignment is a transmission technique for exploiting all available degrees of freedom in the symmetric frequency- or time-selective interference channel with an arbit...
Steven W. Peters, Robert W. Heath Jr.
CISS
2008
IEEE
14 years 2 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
CN
2007
141views more  CN 2007»
13 years 7 months ago
Identifying lossy links in wired/wireless networks by exploiting sparse characteristics
In this paper, we consider the problem of estimating link loss rates based on end-to-end path loss rates in order to identify lossy links on the network. We first derive a maximu...
Hyuk Lim, Jennifer C. Hou
BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
Alignment of protein structures in the presence of domain motions
Background: Structural alignment is an important step in protein comparison. Well-established methods exist for solving this problem under the assumption that the structures under...
Roberto Mosca, Barbara Brannetti, Thomas R. Schnei...