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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书目名称Cognitive Systems and Signal Processing影响因子(影响力)




书目名称Cognitive Systems and Signal Processing影响因子(影响力)学科排名




书目名称Cognitive Systems and Signal Processing网络公开度




书目名称Cognitive Systems and Signal Processing网络公开度学科排名




书目名称Cognitive Systems and Signal Processing被引频次




书目名称Cognitive Systems and Signal Processing被引频次学科排名




书目名称Cognitive Systems and Signal Processing年度引用




书目名称Cognitive Systems and Signal Processing年度引用学科排名




书目名称Cognitive Systems and Signal Processing读者反馈




书目名称Cognitive Systems and Signal Processing读者反馈学科排名

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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

令人苦恼

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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