Description: Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics by Jianping Gou, Weihua Ou, Shaoning Zeng The present reprint contains 33 articles accepted and published in the Special Issue entitled "Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022" in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc.It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities. FORMAT Hardcover CONDITION Brand New Details ISBN3036572627 Author Shaoning Zeng Pages 556 Publisher Mdpi AG Year 2023 ISBN-13 9783036572628 Format Hardcover Publication Date 2023-06-14 Imprint Mdpi AG Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159418077;
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ISBN-13: 9783036572628
Author: Jianping Gou, Weihua Ou, Shaoning Zeng
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