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Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information, Marr David


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Автор: Marr David
Название:  Vision: A Computational Investigation Into the Human Representation and Processing of Visual Information
Перевод названия: Дэвид Мар: Зрение. Компьютерные исследования представления и обработки визуальной информации человек
ISBN: 9780262514620
Издательство: MIT Press
Классификация:

ISBN-10: 0262514621
Обложка/Формат: Paperback
Страницы: 432
Вес: 0.67 кг.
Дата издания: 01.07.2010
Серия: The mit press
Язык: English
Иллюстрации: 150 b&w illus., 5 tables; 155 illustrations, unspecified
Размер: 187 x 217 x 20
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: A computational investigation into the human representation and processing of visual information
Ссылка на Издательство: Link
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Поставляется из: США
Описание:

Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions.

David Marrs posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marrs creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marrs influential work available to a new generation of students and scientists.

In Marrs framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis -- in Marrs framework, the computational level, the algorithmic level, and the hardware implementation level.

Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.




Mathematical Principles of Human Conceptual Behavior: The Structural Nature of Conceptual Representation and Processing

Автор: Vigo Ronaldo
Название: Mathematical Principles of Human Conceptual Behavior: The Structural Nature of Conceptual Representation and Processing
ISBN: 0415714362 ISBN-13(EAN): 9780415714365
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание:

The ability to learn concepts lies at the very core of human cognition, enabling us to efficiently classify, organize, identify, and store complex information. In view of the basic role that concepts play in our everyday physical and mental lives, the fields of cognitive science and psychology face three long standing challenges: discovering the laws that govern concept learning and categorization behavior in organisms, showing how they inform other areas of cognitive research, and describing them with the mathematical systematicity and precision found in the physical sciences. In light of these theoretical and methodological shortcomings, this volume will introduce a set of general mathematical principles for predicting and explaining conceptual behavior.

The author's theory is based on seven fundamental constructs of universal science: invariance, complexity, information, similarity, dissimilarity, pattern, and representation. These constructs are joined by a novel mathematical framework that does not depend on probability theory, and derives key results from conceptual behavior research with other key areas of cognitive research such as pattern perception, similarity assessment, and contextual choice. The result is a unique and systematic unifying foundation for cognitive science in the tradition of classical physics.


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