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Recently, attention has been paid to tracking methods using sparse representation. Assuming that the representation residuals follow Gaussian distribution, the multi-object tracking methods based on sparse representation are proposed. However, these methods are sensitive to outliers such as occlusion due to the assumption of Gaussian distribution. In our paper, a novel sparse representation based...
Enabling keyword search directly over encrypted data is a desirable technique for effective utilization of encrypted data outsourced to the cloud. Existing solutions provide multi-keyword exact search that does not tolerate keyword spelling error, or single keyword fuzzy search that tolerates typos to certain extent. The current fuzzy search schemes rely on building an expanded index that covers possible...
Protein interactions play vital roles in biological processes. The study for protein interface will allow people to elucidate the mechanism of protein interaction. However, a large portion of protein interface data is incorrectly collected currently. In this paper, a dataset reconstruction strategy using manifold learning method has been proposed for dealing with the noises in the interaction interface...
Video transcoding is an efficient way to reduce the bitrate or convert the format of the original video stream to meet the requirements of different applications and various channel capacity. In this paper, we propose a fast multiview video transcoder (MVT) for bitrate reduction. Different from the H264 transcoder, the inter-view prediction information in the input video stream is utilized to reduce...
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