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Decoder-learning based distributed source coding for high-efficiency, low-cost and secure multimedia communications
(University of Missouri--Columbia, 2008)
Conventional multimedia compression leverages the source statistics at the encoder side. This is not suitable for some emerging applications such as wireless sensor networks, where the encoders usually have limited ...
Knowledge representation and exchange of visual patterns using semantic abstractions
(University of Missouri--Columbia, 2008)
Modern technology enables organizations to build large-scale data repositories. The utility of such repositories, however, is limited if they don't support exible methods of extracting knowledge, especially for image ...
Domain-concept mining : an efficient on-demand data mining approach
(University of Missouri--Columbia, 2008)
Traditional brute-force association mining approaches, when applied to large datasets, are thorough but inefficient due to computational complexity. A low global minimum probability threshold can worsen this complexity by ...