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    MVA
    2007
    132views Computer Vision» more  MVA 2007»
    A Robust Coarse-to-Fine Method for Pupil Localization in Non-ideal Eye Images
    13 years 9 months ago
    A Robust Coarse-to-Fine Method for Pupil Localization in Non-ideal Eye Images
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Pupil localization is a very important preprocessing step in many machine vision applications. Accurate and robust pupil localization especially in non-ideal eye images (such as i...
    Xiaoyan Yuan, Pengfei Shi
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    DMIN
    2006
    107views Data Mining» more  DMIN 2006»
    Enhancing Data Preparation Processes Using Triggers For Active Datawarehousing
    13 years 9 months ago
    Enhancing Data Preparation Processes Using Triggers For Active Datawarehousing
    Download  ww1.ucmss.com
    Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...
    Kanana Ezekiel, Farhi Marir
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    DMIN
    2006
    150views Data Mining» more  DMIN 2006»
    Effect of Document Representation on the Performance of Medical Document Classification
    13 years 9 months ago
    Effect of Document Representation on the Performance of Medical Document Classification
    Download  ww1.ucmss.com
    Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the p...
    Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
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    EACL
    2006
    ACL Anthology
    117views Natural Language Processing» more  EACL 2006»
    Automatic Acronym Recognition
    13 years 9 months ago
    Automatic Acronym Recognition
    Download  acl.ldc.upenn.edu
    This paper deals with the problem of recognizing and extracting acronymdefinition pairs in Swedish medical texts. This project applies a rule-based method to solve the acronym rec...
    Dana Dannélls
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    CAINE
    2003
    128views Computer Science» more  CAINE 2003»
    A Genetic Algorithm for Clustering on Very Large Data Sets
    13 years 9 months ago
    A Genetic Algorithm for Clustering on Very Large Data Sets
    Download  cs.hbg.psu.edu
    Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
    Jim Gasvoda, Qin Ding
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