Titlebook: Natural Computing for Unsupervised Learning; Xiangtao Li,Ka-Chun Wong Book 2019 Springer International Publishing AG, part of Springer Nat

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Feature Extraction and Classification in Brain-Computer Interfacing: Future Research Issues and Chaland complex classifiers. In this paper, we have explained the basic concepts of all the classifiers and describe their key properties and applications. We have thoroughly analyzed all possible types of comparisons between classifiers using statistical plotting (bar chart, line chart) so that future

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Semantic Image Retrieval Using Point-Set Topology and the Ant Sleeping Modelend the topological model to analyze it. Through experiments we show that our algorithm performs well in indexing an image database for relevance feedback. With our indexing procedure, the average response time to access image results from a storage device is lower when compared to vector quantizati

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Book 2019 junction between natural computing and unsupervised learning.?.Includes advances on unsupervised learning using natural computing techniques.Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning. .Features natural computing techniques such as evolutionary mu

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Suyog Trivedi,Balaji Jagan,Gopichand Agnihotramumans, among other organisms. This volume will be a welcome addition to the literature, as no other book covers aspects related to biological secretion in such a holistic and integrative manner..978-3-642-44694-8978-3-642-23047-9Series ISSN 1867-9048 Series E-ISSN 1867-9056