Statistical learning pattern analysis de xue jianru (22 resultados)

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Editorial: London, Springer London 2009
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Antiquariat Bookfarm, Löbnitz, AlemaniaAntiquariat Bookfarm
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Hardcover. 1. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9781848823112 Sprache: Englisch Gewicht in Gramm: 550.

Idioma: Inglés
Editorial: Springer 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Idioma: Inglés
Editorial: Springer 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Editorial: Springer London 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the pra…ctice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.

Idioma: Inglés
Editorial: Springer 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. pp. xvi + 366.

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Editorial: Springer 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: New. pp. xvi + 366 102 Illus. (74 Col.).

Idioma: Inglés
Editorial: Springer 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: New. pp. 384.

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Editorial: Springer London, Springer London 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of scienc…e, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.

Idioma: Inglés
Editorial: Springer London, Springer 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, tech…nology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.

Idioma: Inglés
Editorial: Springer-Verlag New York Inc 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 382 pages. 9.20x6.10x0.87 inches. In Stock.

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Editorial: Springer Verlag 2009
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Hardcover. Condición: Brand New. 1st edition. 356 pages. 9.10x6.20x1.20 inches. In Stock.

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Editorial: Springer 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Idioma: Inglés
Editorial: Springer 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Editorial: Springer London, Springer London Mär 2012 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the pr…actice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications. 384 pp. Englisch.

Idioma: Inglés
Editorial: Springer London Apr 2010 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice…of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications. 384 pp. Englisch.

Idioma: Inglés
Editorial: Springer London 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a system view of modelling and computing visual patterns in image sequencesProvides a complete guide to accomplishing intelligent visual information processing systemRich in examples and illustrations displayin…g implementation detail.

Idioma: Inglés
Editorial: Springer London 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a system view of modelling and computing visual patterns in image sequencesProvides a complete guide to accomplishing intelligent visual information processing systemRich in examples and illustrations displayin…g implementation detail.

Idioma: Inglés
Editorial: Springer London, Springer Apr 2010 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of s…cience, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.

Idioma: Inglés
Editorial: Springer London, Springer Mär 2012 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practi…ce of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.

Idioma: Inglés
Editorial: Springer 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 384 102 Illus. (74 Col.).

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Editorial: Springer 2010
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. xvi + 366.

Idioma: Inglés
Editorial: Springer 2012
Serie: Advances in Computer Vision and Pattern Recognition, Libro 9 de 86. Libro 9 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 384.