Eduardo bayro corrochano (171 résultats)

Hardcover. Etat : Very Good. Etat de la jaquette : Published Without Dust Jacket. 1st Edition. 235 pp. Tightly bound. Corners not bumped. Text is free of markings. No ownership markings. Published without a dust jacket. Printed boards. NOTE: The word "USED" is neatly stamped on the top fore-edge. First Edition / First Printing. 9,8,7,6,5,4,3,2,1. …

Etat : New.

Etat : 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.

Etat : New. pp. 256.

Etat : New. pp. 256 Illus.

Etat : As New. Unread book in perfect condition.

Etat : 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.

Etat : New. pp. 256.

Etat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Hardback or Cased Book. Etat : New. Geometric Computing for Perception Action Systems: Concepts, Algorithms, and Scientific Applications. Book.

Etat : New.

Etat : New. In English.

Etat : New. In English.

Etat : New.

PF. Etat : New.

Etat : New. pp. 256.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Brand New. 251 pages. 9.25x6.10x0.58 inches. In Stock.

hardcover. Etat : New. In shrink wrap. Looks like an interesting title.

Etat : Nuevo. Reúne poemas y pinturas del autor boliviano Eduardo Bayro Corrochano (Oruro, 1952-). 189 pages.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - All the efforts to build an intelligent machine have not yet produced a satisfactory autonomous system despite the great progress that has been made in developing computer hardware over the last three decades. The complexity of the tasks that a cognitive system must perform is still not understood well enough. Let us call the endeavor of building intelligent systems as the construction of Perception Action Cycles (PAC). The key idea is to incorporate representation and learning in a flexible geometric system. Until now this issue has always been a matter of neurocomputing. The most frequently used algebraic system for neurocomputation is matrix algebra. However, calculations in geometric algebra often reveal a geometric structure which remains obscure in the equivalent matrix computations. The development of PAC in a unified comprehensive mathematical system is urgently needed to bring unity and coherance to the problems of artificial intelligence. Accordingly, we are motivated by the challenge of applying geometric algebra to the development of PAC systems. Geometric algebra provides the general mathematical framework for the development of the ideas of multi-linear algebra, multi-variable analysis, and the representation of LIE groups and LIE algebras. There is strong evidence that geobetric albegra can be used to carry out efficient computations at all levels in the cognitive system. Geometric algebra reduces the complexity of algebraic expressions and as a result, it improves algorithms both in speed and accuracy. Thus, our goal is to construct PAC systems solely in the geometric algebra language. The preliminary chapters of this book introduce the reader to geometric algebra and the necessary mathematical concepts that will be needed. The latter chapters deal with a variety of applications in the field of cognitive systems in.…

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - All the efforts to build an intelligent machine have not yet produced a satisfactory autonomous system despite the great progress that has been made in developing computer hardware over the last three decades. The complexity of the tasks that a cognitive system must perform is still not understood well enough. Let us call the endeavor of building intelligent systems as the construction of Perception Action Cycles (PAC). The key idea is to incorporate representation and learning in a flexible geometric system. Until now this issue has always been a matter of neurocomputing. The most frequently used algebraic system for neurocomputation is matrix algebra. However, calculations in geometric algebra often reveal a geometric structure which remains obscure in the equivalent matrix computations. The development of PAC in a unified comprehensive mathematical system is urgently needed to bring unity and coherance to the problems of artificial intelligence. Accordingly, we are motivated by the challenge of applying geometric algebra to the development of PAC systems. Geometric algebra provides the general mathematical framework for the development of the ideas of multi-linear algebra, multi-variable analysis, and the representation of LIE groups and LIE algebras. There is strong evidence that geobetric albegra can be used to carry out efficient computations at all levels in the cognitive system. Geometric algebra reduces the complexity of algebraic expressions and as a result, it improves algorithms both in speed and accuracy. Thus, our goal is to construct PAC systems solely in the geometric algebra language. The preliminary chapters of this book introduce the reader to geometric algebra and the necessary mathematical concepts that will be needed. The latter chapters deal with a variety of applications in the field of cognitive systems in.…

Etat : New.

Taschenbuch. Etat : Neu. Geometric Computing for Perception Action Systems | Concepts, Algorithms, and Scientific Applications | Eduardo Bayro Corrochano | Taschenbuch | xvi | Englisch | 2012 | Springer | EAN 9781461265351 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Etat : New. In English.

Etat : New. In English.

Etat : New. In English.

Hardcover. Etat : Near Fine - Fine condition. Etat de la jaquette : No dust jacket, as issued. 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. NOT a library discard (illustrateur).…

Gebunden. Etat : New.

Etat : New.