Titlebook: Cognitive Systems and Signal Processing; 4th International Co Fuchun Sun,Huaping Liu,Dewen Hu Conference proceedings 2019 Springer Nature S

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書目名稱Cognitive Systems and Signal Processing影響因子(影響力)




書目名稱Cognitive Systems and Signal Processing影響因子(影響力)學(xué)科排名




書目名稱Cognitive Systems and Signal Processing網(wǎng)絡(luò)公開度




書目名稱Cognitive Systems and Signal Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cognitive Systems and Signal Processing被引頻次




書目名稱Cognitive Systems and Signal Processing被引頻次學(xué)科排名




書目名稱Cognitive Systems and Signal Processing年度引用




書目名稱Cognitive Systems and Signal Processing年度引用學(xué)科排名




書目名稱Cognitive Systems and Signal Processing讀者反饋




書目名稱Cognitive Systems and Signal Processing讀者反饋學(xué)科排名

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Multi-scale Local Receptive Field Based Online Sequential Extreme Learning Machine for Material Clashods are for static object material data. However, in real industrial production, data cannot be generated overnight. It is generated continuously. In this work, we propose an algorithm named Multi-Scale Local Receptive Field Based Online Sequential Extreme Learning Machine (MSLRF-OSELM) for materia

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Video-Based Person Re-identification by Region Quality Estimation and Attributesestrians’ appearance across different cameras due to occlusions and illumination variations. Video-based person re-ID provides more information about pedestrians, but how to aggregate useful information of all frames is still an open issue. Although using region quality estimation network (RQEN) can

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A Preliminary Visual System for Assistant Diagnosis of ASD: Response to Nameelopment of machine vision technologies have brought new ideas to the auxiliary diagnosis of ASD, such as face detection, gaze estimation, action recognition, etc. The paper proposed a preliminary visual system for assistant diagnosis of ASD in a core clinical testing scenario-Response to Name (NTR)

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Dynamic Detection and Tracking Based on Human Body Component Modelingirstly, aiming at the modeling and analysis of the human body and its components, the human body detection algorithm adapted to complex scenes is proposed, and the convolutional neural network is designed to realize the model. Secondly, the human body tracking model based on convolutional neural net

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An Image Segmentation Model Based on Cascaded Multilevel Featuresrediction accuracy of pixel class reduced. Based on the deep convolutional coding-decoding network, an end-to-end image segmentation model by cascading multi-level features in encoder and decoder is proposed in this paper. Firstly, the last layer convolution feature of the first two convolution stag

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