Da: About Books, Henderson, NV, U.S.A.
Prima edizione
Hardcover. Condizione: Near Fine - Fine condition. NOT a library discard (illustratore). First Edition. Springer, 2019. We have only this one copy, but it is available now and ready to ship today from Henderson, Nevada. The cover is in Near Fine condition but for a little bit of very minor shelfwear. NO chips, tears or fading. Square and tight. Corners are NOT bumped. NO owner's name or bookplate. NOTa library discard. NOT a remainder. FINE inside. Pages are crisp, clean and unmarked - apparently seldom if ever read. NO underlining. NO highlighting. NO margin notes. Bound in the original dark red pictorial laminated boards, lettered in bright white and yellow. From the publisher: "The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra. Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems.". First Edition. Hardcover. Near Fine - Fine condition/No dust jacket, as issued. Illus. by NOT a library discard. 8vo. xxxiii, 742pp. Great Packaging, Fast Shipping.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 227,94
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 222,87
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 228,96
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 257,49
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 254,81
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 279,40
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra.Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2018
ISBN 10: 3319748289 ISBN 13: 9783319748283
Da: Revaluation Books, Exeter, Regno Unito
EUR 394,90
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 778 pages. 9.25x6.10x1.80 inches. In Stock.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 206,31
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Jul 2018, 2018
ISBN 10: 3319748289 ISBN 13: 9783319748283
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 246,09
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra.Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems. 776 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3319748289 ISBN 13: 9783319748283
Da: moluna, Greven, Germania
EUR 223,97
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers in a compact and complete way the theory and methods to apply Geometric Algebra in computer vision, graphics and machine learning Introduces the basics of geometric algebra to specialists and non- specialists in a gentle and comprehensive m.
Lingua: Inglese
Editore: Springer, Springer Jul 2018, 2018
ISBN 10: 3319748289 ISBN 13: 9783319748283
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 267,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra.Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry.By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 776 pp. Englisch.