Titlebook: Minimum Error Entropy Classification; Joaquim P. Marques de Sá,Luís M.A. Silva,Luís A. A Book 2013 Springer-Verlag Berlin Heidelberg 2013

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书目名称Minimum Error Entropy Classification影响因子(影响力)




书目名称Minimum Error Entropy Classification影响因子(影响力)学科排名




书目名称Minimum Error Entropy Classification网络公开度




书目名称Minimum Error Entropy Classification网络公开度学科排名




书目名称Minimum Error Entropy Classification被引频次




书目名称Minimum Error Entropy Classification被引频次学科排名




书目名称Minimum Error Entropy Classification年度引用




书目名称Minimum Error Entropy Classification年度引用学科排名




书目名称Minimum Error Entropy Classification读者反馈




书目名称Minimum Error Entropy Classification读者反馈学科排名

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调情

Book 2013 neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions..

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Joaquim P. Marques de Sá,Luís M.A. Silva,Luís A. APresents data classification methodologies based on a minimum error entropy approach.Includes both theoretical results and applications to real world datasets.Written by leading experts in the field

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A Scale-Aware YOLO Model for Pedestrian Detectionization within a scene. Recently, convolutional neural networks (CNNs) have been demonstrated to achieve superior detection results compared to traditional approaches. Although YOLOv3 (an improved You Only Look Once model) is proposed as one of state-of-the-art methods in CNN-based object detection,