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    » Using classifier ensembles to label spatially disjoint data
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    AIPRF
    2007
    116views Artificial Intelligence» more  AIPRF 2007»
    Evaluation of Different Approaches to Training a Genre Classifier
    13 years 6 months ago
    Evaluation of Different Approaches to Training a Genre Classifier
    Download  dis.ijs.si
    This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected ba...
    Vedrana Vidulin, Mitja Lustrek, Matjaz Gams
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    BMCBI
    2011
    304views Artificial Intelligence» more  BMCBI 2011»
    Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
    12 years 11 months ago
    Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
    Download  www.biomedcentral.com
    Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
    Bailing Zhang, Tuan D. Pham
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    ICPR
    2006
    IEEE
    199views computer vision» more  ICPR 2006»
    Patch-Based Gabor Fisher Classifier for Face Recognition
    14 years 6 months ago
    Patch-Based Gabor Fisher Classifier for Face Recognition
    Download  www.jdl.ac.cn
    Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...
    Shiguang Shan, Wen Gao, Xilin Chen, Yu Su
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    PAA
    2002
    178views Distributed And Parallel Com...» more  PAA 2002»
    Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
    13 years 5 months ago
    Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
    Download  www.ideal.ece.utexas.edu
    : Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
    Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
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    EMNLP
    2007
    167views Natural Language Processing» more  EMNLP 2007»
    Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
    13 years 6 months ago
    Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
    Download  acl.ldc.upenn.edu
    We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
    Kenji Sagae, Jun-ichi Tsujii
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