Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)

Frery, Alejandro C.; Perciano, Talita

ISBN 10: 1447149491 ISBN 13: 9781447149491

Editorial: Springer, 2013

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This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

De la contraportada: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

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T�tulo: Introduction to Image Processing Using R: ...
Editorial: Springer
A�o de publicaci�n: 2013
Encuadernaci�n: Encuadernaci�n de tapa blanda
Condici�n: New

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Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science) [Paperback] Frery, Alejandro C. and Perciano, Talita (eng)

Frery, Alejandro C.

Publicado por Springer, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Introduction to Image Processing Using R

Alejandro C. Frery|Talita Perciano

Publicado por Springer London, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the statistical software R in an intuitive and practical mannerPresents and explains both the theory and practice of R code concepts and techniquesEncourages the reader to try their own implementations to develop faster. N� de ref. del art�culo: 4185114

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Introduction to Image Processing Using R | Learning by Examples

Talita Perciano (u. a.)

Publicado por Springer, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)

Frery, Alejandro C.; Perciano, Talita

Publicado por Springer, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Introduction to Image Processing Using R

Talita Perciano

Publicado por Springer London, Springer London Feb 2013, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 104 pp. Englisch. N� de ref. del art�culo: 9781447149491

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Introduction to Image Processing Using R

Talita Perciano

Publicado por Springer London Feb 2013, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming. 104 pp. Englisch. N� de ref. del art�culo: 9781447149491

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Introduction to Image Processing Using R : Learning by Examples

Frery, Alejandro C.

Publicado por Springer 2013-02, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Introduction to Image Processing Using R : Learning by Examples

Talita Perciano

Publicado por Springer London, Springer London, 2013

ISBN 10: 1447149491 ISBN 13: 9781447149491

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming. N� de ref. del art�culo: 9781447149491

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