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SSWMC
2004
15 years 6 months ago
On the complexity and hardness of the steganography embedding problem
We analyze the complexity of the steganography problem and show that the decision version of the problem is NP-complete through transformation from the Knapsack problem. We also g...
Rajarathnam Chandramouli, Shalin P. Trivedi, R. N....
120
Voted
CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 5 months ago
Quantization of Discrete Probability Distributions
We study the problem of quantization of discrete probability distributions, arising in universal coding, as well as other applications. We show, that in many situations this probl...
Yuriy A. Reznik
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 8 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
161
Voted
BMCBI
2008
166views more  BMCBI 2008»
15 years 5 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
TSP
2010
14 years 11 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat