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Titlebook: Artificial Intelligence; Second CCF Internati Kevin Knight,Changshui Zhang,Min-Ling Zhang Conference proceedings 2019 Springer Nature Singa

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Sub-pixel Upsampling Decode Network for Semantic Segmentation module to decode more detailed information by learning spacial downsampled label in different decoder channel groups. We test the proposed model in the dataset of PASCAL VOC 2012 segmentation task, and the results show the improvement of our method under our computational limitation.
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Academic Paper Recommendation Based on Clustering and Pattern Matchingtion needs are represented in terms of pattern equivalence classes. Finally, matching degree and preference degree are integrated to rank the candidate papers. Experimental results on real datasets demonstrate that CPM outperforms (5.6% in terms of NDCG@5 and 8.1% in terms of MRR) the baseline method.
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Developing Successful Oracle Applications,veness of our approach, we use benchmark sequences annotated with 11 attributes to evaluate how well the tracker handles different attributes. Numerous experiments demonstrate that the proposed algorithm performs favorably against several state-of-the-art algorithms.
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Performance Evaluation of Visual Object Detection for Moving Vehicleobject is determined based on its degree of relevance of the safe driving. The weight of early detection is set to evaluate whether the objects are detected in time or not. In experiments, the proposed evaluation method can reflect the relatively true detection ability of intelligent vehicles compared to the traditional methods.
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