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» The Complexity of Valued Constraint Models
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CVPR
2004
IEEE
16 years 6 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
114
Voted
ECIS
2000
15 years 5 months ago
Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
Eija Koskivaara
SIGECOM
2008
ACM
155views ECommerce» more  SIGECOM 2008»
15 years 4 months ago
Tight information-theoretic lower bounds for welfare maximization in combinatorial auctions
We provide tight information-theoretic lower bounds for the welfare maximization problem in combinatorial auctions. In this problem, the goal is to partition m items among k bidde...
Vahab S. Mirrokni, Michael Schapira, Jan Vondr&aac...
ADC
2010
Springer
204views Database» more  ADC 2010»
14 years 11 months ago
Systematic clustering method for l-diversity model
Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an eff...
Md. Enamul Kabir, Hua Wang, Elisa Bertino, Yunxian...
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 4 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking