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CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 9 months ago
New Set of Codes for the Maximum-Likelihood Decoding Problem
The maximum-likelihood decoding problem is known to be NP-hard for general linear and Reed-Solomon codes [1, 4]. In this paper, we introduce the notion of A-covered codes, that is...
Morgan Barbier
CGO
2003
IEEE
14 years 2 months ago
Code Optimization for Code Compression
With the emergence of software delivery platforms such as Microsoft’s .NET, reduced size of transmitted binaries has become a very important system parameter strongly affecting ...
Milenko Drinic, Darko Kirovski, Hoi Vo
SIGMOD
2005
ACM
136views Database» more  SIGMOD 2005»
14 years 3 months ago
Optimizing recursive queries in SQL
Recursion represents an important addition to the SQL language. This work focuses on the optimization of linear requeries in SQL. To provide an abstract framework for discussion, ...
Carlos Ordonez
ICIP
1997
IEEE
14 years 11 months ago
Binary Shape Coding Using 1-D Distance Values from Baseline
Here we describe a baseline-based binary shape coding method in which arbitrarily shaped object is represented by the traced 1-D data from baseline and turning point (TP). The sha...
Shi Hwa Lee, Dae-Sung Cho, Yu-Shin Cho, Sehoon Son...
ICASSP
2010
IEEE
13 years 9 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...