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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Language: English
Published by Springer Nature Singapore, 2019
ISBN 10: 9811392161 ISBN 13: 9789811392160
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in an Unknown Environment
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New Developments in Unsupervised Outlier Detection: Algorithms and Applications
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in an Unknown Environment
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Add to basketHardcover. Condition: Brand New. 352 pages. 9.25x6.10x0.98 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 298 pages. 9.25x6.10x9.21 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 298 pages. 9.25x6.10x0.71 inches. In Stock.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on building bridges between natural and artificial computationPresents an object identification model and two different strategies for online learningEvaluates using a realistic scenario and delivers convincin.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on building bridges between natural and artificial computationPresents an object identification model and two different strategies for online learningEvaluates using a realistic scenario and delivers convincin.
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New Developments in Unsupervised Outlier Detection
Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 9811595216 ISBN 13: 9789811595219
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents algorithms for unsupervised outlier detection using k-nearest neighbor-based methodsProposes new global and local outlier factors that offer performance comparable to existing solutionsChallenges and improves on traditional ideas i.
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New Developments in Unsupervised Outlier Detection: Algorithms and Applications
Language: English
Published by Springer Nature Singapore, 2020
ISBN 10: 9811595186 ISBN 13: 9789811595189
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents algorithms for unsupervised outlier detection using k-nearest neighbor-based methodsProposes new global and local outlier factors that offer performance comparable to existing solutionsC.
