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» A Theory of Competitive Analysis for Distributed Algorithms
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ICDCSW
2003
IEEE
14 years 19 days ago
An Adaptive Object Allocation and Replication Algorithm in Distributed Databases
In a Distributed Database System (DDBS), transactions on objects can be read requests or write requests in a random manner. The replication algorithm of objects critically affects...
Wujuan Lin, Bharadwaj Veeravalli
TSP
2008
116views more  TSP 2008»
13 years 7 months ago
Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory - Part I: Nash Equilibria
In this two-part paper, we propose a decentralized strategy, based on a game-theoretic formulation, to find out the optimal precoding/multiplexing matrices for a multipoint-to-mult...
Gesualdo Scutari, Daniel Pérez Palomar, Ser...
TSP
2010
13 years 2 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 7 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
PAMI
2011
12 years 10 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...