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» Advanced High Performance Algorithms for Data Processing
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TEC
2008
98views more  TEC 2008»
15 years 6 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
CIMAGING
2009
94views Hardware» more  CIMAGING 2009»
15 years 4 months ago
Iterative demosaicking accelerated: theory and fast noniterative implementations
Color image demosaicking is a key process in the digital imaging pipeline. In this paper, we present a rigorous treatment of a classical demosaicking algorithm based on alternatin...
Yue M. Lu, Mina Karzand, Martin Vetterli
ADMA
2006
Springer
137views Data Mining» more  ADMA 2006»
15 years 10 months ago
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan
ANCS
2007
ACM
15 years 11 months ago
An improved algorithm to accelerate regular expression evaluation
Modern network intrusion detection systems need to perform regular expression matching at line rate in order to detect the occurrence of critical patterns in packet payloads. Whil...
Michela Becchi, Patrick Crowley
FOIKS
2008
Springer
16 years 3 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn