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ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 10 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
BMEI
2008
IEEE
15 years 9 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
AI
2006
Springer
15 years 7 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
JIFS
2008
155views more  JIFS 2008»
15 years 7 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
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JUCS
2008
116views more  JUCS 2008»
15 years 7 months ago
Comparative Aspects between the Cluster and Grid Implementations of BigBatch
: BigBatch is an image processing environment designed to process batches of thousands of monochromatic documents. One of the flexibilities and pioneer aspects of BigBatch is offer...
Giorgia de Oliveira Mattos, Andrei de Araúj...