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» Using Machine Learning to Focus Iterative Optimization
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126
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ICPR
2010
IEEE
15 years 16 days ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
BMCBI
2007
162views more  BMCBI 2007»
15 years 2 months ago
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
HAPTICS
2008
IEEE
15 years 2 months ago
Efficient Transport Protocol for Networked Haptics Applications
The performance of haptic application is highly sensitive to communication delays and losses of data. It implies several constraints in developing networked haptic applications. Th...
Raul Wirz, Manuel Ferre, Raúl Marín,...
TEC
2010
120views more  TEC 2010»
14 years 9 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
160
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SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 5 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...