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Titlebook: Pattern Recognition and Data Analysis with Applications; Deepak Gupta,Rajat Subhra Goswami,Ram Bilas Pachor Conference proceedings 2022 Th

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书目名称Pattern Recognition and Data Analysis with Applications
编辑Deepak Gupta,Rajat Subhra Goswami,Ram Bilas Pachor
视频video
概述Presents high-quality research in the field of machine intelligence and signal processing.Features the outcomes of MISP 2021, held at National Institute of Technology Arunachal Pradesh.Serves as a ref
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Pattern Recognition and Data Analysis with Applications;  Deepak Gupta,Rajat Subhra Goswami,Ram Bilas Pachor Conference proceedings 2022 Th
描述.This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with theintegration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve t
出版日期Conference proceedings 2022
关键词Signal Processing; Network Intelligence; Machine Learning and Applications; Computer Vision; Time-freque
版次1
doihttps://doi.org/10.1007/978-981-19-1520-8
isbn_softcover978-981-19-1522-2
isbn_ebook978-981-19-1520-8Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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