paperback. Zustand: Good.
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paperback. Zustand: Good. Book is slightly bending/warping. Otherwise book shows minimal/no other wear. Pages are clean, text and pictures are intact and unmarred. Good reading copy.
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In den WarenkorbZustand: New. pp. 196 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Zustand: Muy bueno. : Este libro recopila los procedimientos de la 27ª Conferencia Internacional sobre Reconocimiento de Patrones, ICPR 2024, que tuvo lugar en Kolkata, India, del 1 al 5 de diciembre de 2024. Los 963 artículos presentados fueron cuidadosamente revisados y seleccionados de un total de 2106 presentaciones. Tratan temas como el reconocimiento de patrones, la inteligencia artificial, el aprendizaje automático, la visión por ordenador, la visión robótica, el procesamiento de imágenes, el procesamiento del habla, el procesamiento de señales, el procesamiento de vídeo, la biometría, la interacción persona-ordenador (HCI), el análisis de documentos, el reconocimiento de documentos, la imagen biomédica y la bioinformática. Este libro es una valiosa fuente de información para investigadores y profesionales interesados en el campo del reconocimiento de patrones y áreas afines. EAN: 9783031783531 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pattern Recognition Autor: Apostolos Antonacopoulos| Subhasis Chaudhuri| Rama Chellappa| Cheng-Lin Liu| Saumik Bhattacharya| Umapada Pal Editorial: Springer Idioma: en Páginas: 494 Formato: tapa blanda.
Zustand: Bueno. : Este libro recopila las actas de la 27ª Conferencia Internacional sobre Reconocimiento de Patrones, ICPR 2024, celebrada en Kolkata, India, del 1 al 5 de diciembre de 2024. Los 963 artículos presentados fueron cuidadosamente revisados y seleccionados de un total de 2106 presentaciones. Tratan temas como el reconocimiento de patrones, la inteligencia artificial, el aprendizaje automático, la visión por ordenador, la visión robótica, el procesamiento de imágenes, el procesamiento del habla, el procesamiento de señales, el procesamiento de vídeo, la biometría, la interacción persona-ordenador (HCI), el análisis de documentos, el reconocimiento de documentos, la imagen biomédica y la bioinformática. EAN: 9783031781711 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pattern Recognition Autor: Apostolos Antonacopoulos| Subhasis Chaudhuri| Rama Chellappa| Cheng-Lin Liu| Saumik Bhattacharya| Umapada Pal Editorial: Springer Idioma: en Páginas: 480 Formato: tapa blanda.
Zustand: Muy bueno. : Este libro recopila las actas de la 27ª Conferencia Internacional sobre Reconocimiento de Patrones, ICPR 2024, celebrada en Kolkata, India, del 1 al 5 de diciembre de 2024. Los 963 artículos presentados fueron cuidadosamente revisados y seleccionados de un total de 2106 presentaciones. Tratan temas como el reconocimiento de patrones, la inteligencia artificial, el aprendizaje automático, la visión por ordenador, la visión robótica, el procesamiento de imágenes, el procesamiento del habla, el procesamiento de señales, el procesamiento de vídeo, la biometría, la interacción persona-ordenador (HCI), el análisis de documentos, el reconocimiento de documentos, la imagen biomédica y la bioinformática. EAN: 9783031781711 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pattern Recognition Autor: Apostolos Antonacopoulos| Subhasis Chaudhuri| Rama Chellappa| Cheng-Lin Liu| Saumik Bhattacharya| Umapada Pal Editorial: Springer Idioma: en Páginas: 480 Formato: tapa blanda.
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In den WarenkorbZustand: New. pp. 256 Illus.
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
paperback. Zustand: Good. Spine is slightly bent/tweaked. Otherwise book shows minimal/no wear. Pages are clean, text and pictures are intact and unmarred. Good reading copy.
paperback. Zustand: Fine.
paperback. Zustand: Very Good.
paperback. Zustand: Very Good. Cover and edges may have some wear.
hardcover. Zustand: Sehr gut. Seiten; 9781461474692.2 Gewicht in Gramm: 1.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 2014 edition. 168 pages. 9.25x6.25x0.50 inches. In Stock.
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In den WarenkorbZustand: New. pp. 208 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3319352164 ISBN 13: 9783319352169
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 76,63
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 168 pages. 9.25x6.10x0.38 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 320 pages. 9.25x6.10x9.25 inches. In Stock.
Verlag: Springer International Publishing, Springer Nature Switzerland Sep 2016, 2016
ISBN 10: 3319352164 ISBN 13: 9783319352169
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not.In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior.Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
Verlag: Springer International Publishing, 2016
ISBN 10: 3319352164 ISBN 13: 9783319352169
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not.In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior.Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.
Verlag: Springer International Publishing, 2014
ISBN 10: 3319104845 ISBN 13: 9783319104843
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not.In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior.Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.