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STACS
1999
Springer
13 years 9 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
ICALP
2001
Springer
13 years 9 months ago
On the Approximability of Average Completion Time Scheduling under Precedence Constraints
Abstract. We consider the scheduling problem of minimizing the average weighted job completion time on a single machine under precedence constraints. We show that this problem with...
Gerhard J. Woeginger
CVPR
2008
IEEE
14 years 7 months ago
Spectrally optimal factorization of incomplete matrices
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...
ICASSP
2011
IEEE
12 years 9 months ago
A complete ensemble empirical mode decomposition with adaptive noise
In this paper an algorithm based on the ensemble empirical mode decomposition (EEMD) is presented. The key idea on the EEMD relies on averaging the modes obtained by EMD applied t...
María Eugenia Torres, Marcelo A. Colominas,...
APPROX
2006
Springer
124views Algorithms» more  APPROX 2006»
13 years 9 months ago
Combinatorial Algorithms for Data Migration to Minimize Average Completion Time
The data migration problem is to compute an efficient plan for moving data stored on devices in a network from one configuration to another. It is modeled by a transfer graph, wher...
Rajiv Gandhi, Julián Mestre