Sökning: "Omid Aghazadeh"

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  1. 1. Data Driven Visual Recognition

    Författare :Omid Aghazadeh; Stefan Carlsson; Jiri Matas; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visual Recognition; Data Driven; Supervised Learning; Mixture Models; Non-Parametric Models; Category Recognition; Novelty Detection;

    Sammanfattning : This thesis is mostly about supervised visual recognition problems. Based on a general definition of categories, the contents are divided into two parts: one which models categories and one which is not category based. We are interested in data driven solutions for both kinds of problems. LÄS MER