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Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

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Xiaocheng Liu,Wei Hong,Huiqiu Luse areas, there are often situations in which we are given a set of configurations and a property of interest with the goal of computing all the configurations for which the property is valid. Checking the validity of each single configuration may be a costly process. We are thus interested in reduc
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Cheng Peng,Fanghui Liu,Haiyan Yang,Jie Yang,Nikola Kasabovse areas, there are often situations in which we are given a set of configurations and a property of interest with the goal of computing all the configurations for which the property is valid. Checking the validity of each single configuration may be a costly process. We are thus interested in reduc
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Scanpath Prediction Based on High-Level Features and Memory Biaseatures, hand-crafted high-level features, saccadic amplitude, memory bias cannot fully explain the mechanism of visual attention. In this paper, we propose a comprehensive method to predict scanpath from four aspects: low-level features, saccadic amplitude, semantic features learned via deep convol
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A Novel Ant Colony Detection Using Multi-Region Histogram for Object Trackings for complicated tracking problems in real environment. Among those approaches, object feature definition is one of the most important component to obtain better accuracy in tracking. In this paper, we propose a novel multi-region feature selection method which defines histogram values of basic are
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Robust Visual Tracking via Occlusion Detection Based on Depth-Layer Informationed into the near, the target and the far layer. We find that when occlusion happens, some background patches in the near layer will move into the target region and hence occlude the target. Based on this feature of occlusion, we propose an algorithm which exploits both temporal and spatial context i
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