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Detecting near-duplicate documents efficiently is an indispensable capability for many applications, such as searching engines, information retrieval systems, and recommendation systems. In this paper, we propose a novel content presentation method for near-duplicate document detection from a large collection of Chinese documents. The proposed method, called multi-aggregation fingerprint (MAF), consists...
Data centers are extremely important facilities that contain core business information and applications, but the energy consumption is an inevitable issue, so the thermal distribution monitoring is critical for data centers reliable and stable operation. Thermal information enables monitoring and autonomic thermal management in large data centers. Recent approaches that employed a mobile robot or...
Multipedestrian tracking in traffic scenes is challenging due to cluttered backgrounds and serious occlusions. In this paper, we propose a layered graph model in image (RGB) and depth (D) domains for real-time robust multipedestrian tracking. The motivation is to investigate high-level constraints in RGB-D data association and to improve the optimization from the trajectory level to the layer level...
A novel contour tracking algorithm is proposed in this paper. The algorithm first coverts the input image into sixteen different color feature spaces and adopts Fisher discriminating rule to adaptively select the top-ranked three discriminative feature spaces who can discriminate the target region and its neighbor background region best, then adopts the nearest neighbor decision method to construct...
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