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107
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GPEM
2006
127views more  GPEM 2006»
15 years 14 days ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
119
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CVIU
2008
126views more  CVIU 2008»
15 years 16 days ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
LREC
2010
224views Education» more  LREC 2010»
15 years 1 months ago
Morphological Analysis and Generation of Arabic Nouns: A Morphemic Functional Approach
MAGEAD is a morphological analyzer and generator for Modern Standard Arabic (MSA) and its dialects. We introduced MAGEAD in previous work with an implementation of MSA and Levanti...
Mohamed Altantawy, Nizar Habash, Owen Rambow, Ibra...
93
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TVCG
2008
174views more  TVCG 2008»
15 years 10 days ago
Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
Abstract-- A typical data-driven visualization of electroencephalography (EEG) coherence is a graph layout, with vertices representing electrodes and edges representing significant...
Michael ten Caat, Natasha M. Maurits, Jos B. T. M....
BMCBI
2006
374views more  BMCBI 2006»
15 years 15 days ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...