9783319263106 - parametric and nonparametric inference for statistical dynamic shape analysis with applications di brombin, chiara; salmaso, luigi; fontanella, lara; ippoliti, luigi; fusilli, caterina (19 risultati)
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
Brombin, Chiara; Fontanella, Laura; Fontanella, Lara; Ippoliti, Luigi; Salmaso, Luigi
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
Brombin, Chiara; Fontanella, Laura; Fontanella, Lara; Ippoliti, Luigi; Salmaso, Luigi
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Chiara Brombin, Luigi Salmaso, Lara Fontanella, Luigi Ippoliti, Caterina Fusilli
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Paperback. Condizione: New. 1st ed. 2016. This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global…dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.
Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications (SpringerBriefs in Statistics)
Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
Brombin, Chiara; Fontanella, Laura; Fontanella, Lara; Ippoliti, Luigi; Salmaso, Luigi
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications 2016 (SpringerBriefs in Statistics)
Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
Brombin, Chiara; Fontanella, Laura; Fontanella, Lara; Ippoliti, Luigi; Salmaso, Luigi
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis With Applications
Brombin, Chiara/ Fontanella, Laura/ Fusilli, Caterina/ Ippoliti, Luigi/ Salmaso, Luigi
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 128 pages. 9.00x6.00x0.50 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications | Chiara Brombin (u. a.) | Taschenbuch | SpringerBriefs in Statistics | x | Englisch | 2016 | Springer | EAN 9783319263106 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 691…21 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Chiara Brombin, Luigi Salmaso, Lara Fontanella, Luigi Ippoliti, Caterina Fusilli
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New. 1st ed. 2016.
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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.
Parametric and Nonparametric Inference for Statist
Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina
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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.
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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 book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and in…terpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression. 128 pp. Englisch.
Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications 2016 (SpringerBriefs in Statistics)
Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 110.
Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications 2016 (SpringerBriefs in Statistics)
Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 110.
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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Chiara Brombin|Luigi Salmaso|Lara Fontanella|Luigi Ippoliti|Caterina Fusilli
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric testsUses the Expectation Maximization (EM) a…lgori.
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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 book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interp…ret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain.The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out.Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book.They refer to the analysis of data from the FG-NET (Face and Gesture RecognitionResearch Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facialexpressions or testing which of the landmarks are more informative in explaining thepattern of an expression.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpr…et and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.
