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    ESANN
    2004
    112views Neural Networks» more  ESANN 2004»
    A Modular Framework for Multi category feature selection in Digital mammography
    13 years 10 months ago
    A Modular Framework for Multi category feature selection in Digital mammography
    Download  www.dice.ucl.ac.be
    Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
    Ranadhir Ghosh, Moumita Ghosh, John Yearwood
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    TIFS
    2008
    113views more  TIFS 2008»
    A Selective Feature Information Approach for Iris Image-Quality Measure
    13 years 8 months ago
    A Selective Feature Information Approach for Iris Image-Quality Measure
    Download  www.engr.iupui.edu
    Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
    Craig Belcher, Yingzi Du
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    IJCAI
    2007
    209views Artificial Intelligence» more  IJCAI 2007»
    Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
    13 years 10 months ago
    Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
    Download  www.ijcai.org
    Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
    Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 8 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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    CEC
    2010
    IEEE
    186views Artificial Intelligence» more  CEC 2010»
    An analysis of clustering objectives for feature selection applied to encrypted traffic identification
    13 years 10 months ago
    An analysis of clustering objectives for feature selection applied to encrypted traffic identification
    Download  www.cs.dal.ca
    This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
    Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
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