Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Edité par Cambridge University Press, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2015
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Edité par Cambridge University Press CUP, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Ajouter au panierEtat : New. pp. xiii + 237 Index.
Edité par Cambridge University Press, Cambridge, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Frechet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Ajouter au panierEtat : New. pp. xiii + 237 20 Illus.
Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
Langue: anglais
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Edité par Cambridge University Press, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
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Edité par Cambridge University Press 2015-04-09, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
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Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Ajouter au panierEtat : New. pp. xiii + 237.
Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2015
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Edité par Cambridge University Press CUP, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
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Ajouter au panierEtat : New. pp. xiii + 237 Index.
Edité par Cambridge University Press, 2015
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Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
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Edité par Cambridge University Press, Cambridge, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Frechet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists and morphometricians with mathematical training. Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
Langue: anglais
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 252 pages. 9.00x6.00x0.75 inches. In Stock.
Edité par Cambridge University Press, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
Langue: anglais
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, Cambridge, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Frechet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, Cambridge, 2015
ISBN 10 : 1107484316 ISBN 13 : 9781107484313
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Frechet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 250 pages. 9.06x6.14x0.87 inches. In Stock.
Edité par Cambridge University Press, Cambridge, 2012
ISBN 10 : 1107019583 ISBN 13 : 9781107019584
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 72,61
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Ajouter au panierHardcover. Etat : new. Hardcover. This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Frechet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists and morphometricians with mathematical training. Ideal for statisticians, this book will also interest probabilists, mathematicians, computer scientists, and morphometricians with mathematical training. It presents a systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important applications in medical diagnostics, image analysis and machine vision. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.