Titlebook: Artificial Intelligence and Computer Vision; Huimin Lu,Yujie Li Book 2017 Springer International Publishing Switzerland 2017 Computational

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Hybrid Cuckoo Search Based Evolutionary Vector Quantization for Image Compression,e parameters of HCS prevents the algorithm from being trapped in the local optimum. Performance of HCS was tested on four benchmark functions and compared with other metaheuristic algorithms. Practically, it is observed that the Hybrid Cuckoo Search algorithm has high peak signal to noise ratio and

做作

Cross-Modal Learning with Images, Texts and Their Semantics,sists of (1) a semi-supervised coupled dictionary learning step to generate homogeneously sparse representations for different modalities based on both paired and unpaired samples; (2) a coupled feature mapping step to project the sparse representations of different modalities into a common subspace

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1860-949X es for the first time a review of computational imaging.Suit.This edited book presents essential findings in the research fields of artificial intelligence and computer vision, with a primary focus on new research ideas and results for mathematical problems involved in computer vision systems. The b

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Efficient Combination of Color, Texture and Shape Descriptor, Using SLIC Segmentation for Image Reta local and global aspect for each image. These characteristics will be concatenate, stored and compared to those of the image query using the Euclidean distance. The performance of this system is evaluated with a precision factor. The results experimental show a good performance.

accomplishment

Eine kritische Theorie für das Anthropozänct abnormal messages in the real-time microblog message stream. Combined with EPO (Events of Public Opinion) features, each abnormal message can be formalized as EPO features using microblog-oriented keywords extraction method. An online incremental clustering algorithm is proposed to cluster abnormal messages and detect EPO.

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