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IPMI
2003
Springer
16 years 4 months ago
Expectation Maximization Strategies for Multi-atlas Multi-label Segmentation
It is well-known in the pattern recognition community that the accuracy of classifications obtained by combining decisions made by independent classifiers can be substantially high...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
SEBD
2008
177views Database» more  SEBD 2008»
15 years 4 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta
ICPR
2006
IEEE
16 years 4 months ago
Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiogr
One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available f...
130
Voted
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 3 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
126
Voted
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
15 years 9 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen