Nonparametric bayesian learning collaborative di zhou xuefeng (26 risultati)
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. XVII, 137 50 illus., 44 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 154 pages. 9.25x6.10x0.44 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book focuses onrobot introspection,whichhas a direct impact on physical human-robot interactionandlong-term autonomy,andwhich can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In… robotics,the abilitytoreason,solve their ownanomaliesand proactivelyenrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which caneffectivelybe modeled as a parametrichidden Markovmodel (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using thehierarchical Dirichletprocess (HDP) on the standard HMM parameters,known as theHierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states andallows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods.This book is avaluablereferenceresource forresearchers and designers inthe fieldof robot learning and multimodal perception, as well as for senior undergraduate and graduateuniversitystudents.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection | Xuefeng Zhou (u. a.) | Taschenbuch | xvii | Englisch | 2020 | Springer | EAN 9789811562655 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spring…er[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 58,39
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book focuses onrobot introspection,whichhas a direct impact on physical human-robot interactionandlong-term autonomy,andwhich can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In roboti…cs,the abilitytoreason,solve their ownanomaliesand proactivelyenrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which caneffectivelybe modeled as a parametrichidden Markovmodel (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using thehierarchical Dirichletprocess (HDP) on the standard HMM parameters,known as theHierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states andallows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods.This book is avaluablereferenceresource forresearchers and designers inthe fieldof robot learning and multimodal perception, as well as for senior undergraduate and graduateuniversitystudents.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Nonparametric Bayesian Learning for Collaborative
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
Nonparametric Bayesian Learning for Collaborative
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
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- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book focuses onrobot introspection,whichhas a direct impact on physical human-robot interactionandlong-term autonomy,andwhich can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recover…y strategies. In robotics,the abilitytoreason,solve their ownanomaliesand proactivelyenrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which caneffectivelybe modeled as a parametrichidden Markovmodel (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using thehierarchical Dirichletprocess (HDP) on the standard HMM parameters,known as theHierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states andallows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods.This book is avaluablereferenceresource forresearchers and designers inthe fieldof robot learning and multimodal perception, as well as for senior undergraduate and graduateuniversitystudents. 156 pp. Englisch.
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. XVII, 137 50 illus., 44 illus. in color.
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. XVII, 137 50 illus., 44 illus. in color.
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
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EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book focuses onrobot introspection,whichhas a direct impact on physical human-robot interactionandlong-term autonomy,andwhich can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strat…egies. In robotics,the abilitytoreason,solve their ownanomaliesand proactivelyenrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which caneffectivelybe modeled as a parametrichidden Markovmodel (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using thehierarchical Dirichletprocess (HDP) on the standard HMM parameters,known as theHierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states andallows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods.This book is avaluablereferenceresource forresearchers and designers inthe fieldof robot learning and multimodal perception, as well as for senior undergraduate and graduateuniversitystudents. 156 pp. Englisch.
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
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Da: moluna, Greven, Germaniamoluna
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EUR 39,60
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is the first book on robot introspection based on nonparametric Bayesian methods in a data-driven context, which can be easily integrated into various robotic systemsIntroduces a fast, ac…curate, robot anomaly monitoring, diagnosis and&nb.
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Zhou, Xuefeng; Wu, Hongmin; Rojas, Juan; Xu, Zhihao; Li, Shuai
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
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Da: moluna, Greven, Germaniamoluna
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EUR 48,37
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is the first book on robot introspection based on nonparametric Bayesian methods in a data-driven context, which can be easily integrated into various robotic systemsIntroduces a fast, accurate, robot a…nomaly monitoring, diagnosis and&nb.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book focuses on robot introspection, which has a direct impact on physical human-robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly reco…very strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which can effectively be modeled as a parametric hidden Markov model (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using the hierarchical Dirichlet process (HDP) on the standard HMM parameters, known as the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states and allows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods.This book is a valuable reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 53,49
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book focuses on robot introspection, which has a direct impact on physical human-robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery st…rategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which can effectively be modeled as a parametric hidden Markov model (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using the hierarchical Dirichlet process (HDP) on the standard HMM parameters, known as the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states and allows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods.This book is a valuable reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
