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    Image parsing using local features of superpixels and genetic algorithm 

    Joseph, Ferdin Joe John; Surapong Auwatanamongkol (National Institute of Development Administration, 2014)

    Image porsing is a new avenue in the field of Computer Vision and Machine Learning. Similar to parsing of text into meaningful tokens and classifying them based on the user discretions, images are also parsed to understand the contents of the image. In this regard, there lies a need for image parsing systems to parse the images and understand the contents of the images in an efficient way. In the recent past various image parsing methodologies are proposed with huge fcaturc sct and ambiguity in performance based on class and pixels detected. Many ...
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    On approximating K-Most probable explanations of Bayesian networks using genetic algorithms 

    Nalerk Sriwachirawat; Surapong Auwatanamongkol, advisor (National Institute of Development Administration, 2006)