Resultados de Pesquisa

INGLÊS

Neuroscience: From Neural Networks To Artificial Intelligence - Proceedings Of A U.S.-Mexico Seminar Held In The City Of Xalapa In The State Of Veracruz On December 9-11, 1991

118,59€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 Presents the contributions of researchers working in neuroscience, brain theory and artificial intelligence, who discuss experimental and conceptual approaches to the understanding of problems such as the processing of sensory information, visual processing and knowledge representation.
INGLÊS

Visual Structures And Integrated Functions

118,59€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 A set of papers on brain mechanisms which synthesizes theory and experiment in neuroscience, using frog and toad subjects. Schema models demonstrate the neural function interactions underlying visuomotor coordination and neural network models address data from neurophysiology and neuro-anatomy.
INGLÊS

Hands - A Pattern Theoretic Study Of Biological Shapes

de Daniel M. Keenan, Ulf Grenander e Y. Chow

118,59€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 In this book a global shape model is developed and applied to the analysis of real pictures acquired with a visible light camera under varying conditions of optical degradation. Computational feasibility of the algorithms derived from this model is achieved by analytical means. The aim is to develop methods for image understanding based on structured restoration, for example automatic detection of abnormalities. We also want to find the limits of applicability of the algorithms. This is done by making the optical degradations more and more severe until the algorithms no longer succeed in their task. This computer experiment in pattern theory is one of several. The others, LEAVES, X-RAYS, and RANGE are described elsewhere. This book is suitable for an advanced undergraduate or graduate seminar in pattern theory, or as an accompanying book for applied probability, computer vision, or pattern recognition.
INGLÊS

Artificial Neural Networks For Computer Vision

de Rama Chellappa e Yi-Tong Zhou

59,61€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 This monograph is an outgrowth of the authors' recent research on the de- velopment of algorithms for several low-level vision problems using artificial neural networks. Specific problems considered are static and motion stereo, computation of optical flow, and deblurring an image. From a mathematical point of view, these inverse problems are ill-posed according to Hadamard. Researchers in computer vision have taken the "regularization" approach to these problems, where one comes up with an appropriate energy or cost function and finds a minimum. Additional constraints such as smoothness, integrability of surfaces, and preservation of discontinuities are added to the cost function explicitly or implicitly. Depending on the nature of the inver- sion to be performed and the constraints, the cost function could exhibit several minima. Optimization of such nonconvex functions can be quite involved. Although progress has been made in making techniques such as simulated annealing computationally more reasonable, it is our view that one can often find satisfactory solutions using deterministic optimization algorithms.
INGLÊS

Dynamic Interactions In Neural Networks: Models And Data

118,59€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 This is an exciting time. The study of neural networks is enjoying a great renaissance, both in computational neuroscience - the development of information processing models of living brains - and in neural computing - the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume, Dynamic Interactions in Neural Networks: Models and Data can be given two interpretations. We present models and data on the dynamic interactions occurring in the brain, and we also exhibit the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles that may guide us in the understanding of our own brains and in the design of artificial neural networks. In fact, the book title has yet a third interpretation. It is based on the U. S. -Japan Seminar on "Competition and Cooperation in Neural Nets" which we organized at the University of Southern California, Los Angeles, May 18-22, 1987, and is thus the record of interaction of scientists on both sides of the Pacific in advancing the frontiers of this dynamic, re-born field. The book focuses on three major aspects of neural network function: learning, perception, and action. More specifically, the chapters are grouped under three headings: "Development and Learning in Adaptive Networks," "Visual Function", and "Motor Control and the Cerebellum.

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