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Filtering by: Creator Meigs, Andrew J. Remove constraint Creator: Meigs, Andrew J. Committee Member Wong, Weng-Keen Remove constraint Committee Member: Wong, Weng-Keen Subject Arthropoda -- Identification -- Computer programs Remove constraint Subject: Arthropoda -- Identification -- Computer programs

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  • A study of methods for fine-grained object classification of arthropod specimens

    Creator:
    Lin, Junyuan
    Abstract:
    Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes with gross differences. However, many applications require much finer distinctions. This thesis focuses on the design, evaluation and analysis of learning algorithms for fine- grained...
    Resource Type:
    Masters Thesis
    Full Text:
    the within-cluster scatter is defined as min µk,cj J = M∑ j=1 K∑ k=1 cjk‖xj − µk‖22. The