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Author: Norma Van Surdam Graham
Publisher: Oxford University Press, USA
ISBN: 0195148355
Category : Psychology
Languages : en
Pages : 663
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Book Description
Organized to help the reader find needed information quickly and easily, this book emphasizes psychophysical experiments which measure the detection and identification of near-threshold patterns and the mathematical models used to draw inferences from experimental results.
Author: Norma Van Surdam Graham
Publisher: Oxford University Press, USA
ISBN: 0195148355
Category : Psychology
Languages : en
Pages : 663
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Book Description
Organized to help the reader find needed information quickly and easily, this book emphasizes psychophysical experiments which measure the detection and identification of near-threshold patterns and the mathematical models used to draw inferences from experimental results.
Author: David Mumford
Publisher: CRC Press
ISBN: 1439865566
Category : Computers
Languages : en
Pages : 422
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Book Description
Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then allows you to apply these models in the analysis o
Author: Zhouchen Lin
Publisher: Academic Press
ISBN: 0128127325
Category : Computers
Languages : en
Pages : 262
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Book Description
Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual analysis. It provides insight into the ideas behind the models and their algorithms, giving details of their formulation and deduction. The main applications included are video denoising, background modeling, image alignment and rectification, motion segmentation, image segmentation and image saliency detection. Readers will learn which Low-rank models are highly useful in practice (both linear and nonlinear models), how to solve low-rank models efficiently, and how to apply low-rank models to real problems. - Presents a self-contained, up-to-date introduction that covers underlying theory, algorithms and the state-of-the-art in current applications - Provides a full and clear explanation of the theory behind the models - Includes detailed proofs in the appendices
Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814497649
Category : Computers
Languages : en
Pages : 1045
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Book Description
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
Author: Richard G. M. Morris
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 362
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Book Description
In recent years there has been a substantial growth of interest in parallel distributed processing among experimental psychologists and neurobiologists. Many hope that developments in formal analysis of neural networks will provide a bridge between psychological accounts of cognitive function and those at the neural level. This volume examines the implications of these developments and their influence on experimental psychology and neurobiology. It includes coverage of formal PDP models, providing an introduction to the approach, with full information on assumptions and algorithms. The psychological implications of these models for research on both humans and animals is also discussed. Each of the main parts is introduced by a chapter that outlines the key issues under discussion.
Author: Carlos Chagas
Publisher: Springer
ISBN: 9783662092262
Category : Psychology
Languages : en
Pages : 359
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Book Description
Author: Siddhartha Bhattacharyya
Publisher: CRC Press
ISBN: 1498769373
Category : Computers
Languages : en
Pages : 393
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Book Description
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
Author: Nikolaus Kriegeskorte
Publisher: MIT Press
ISBN: 0262016249
Category : Mathematics
Languages : en
Pages : 659
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Book Description
How visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques. Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across the local population of neurons. Understanding visual population codes ultimately requires multichannel measurement and multivariate analysis of activity patterns. Over the past decade, the multivariate approach has gained significant momentum in vision research. Functional imaging and cell recording measure brain activity in fundamentally different ways, but they now use similar theoretical concepts and mathematical tools in their modeling and analyses. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the beginnings of a unified perspective for cell recording and functional imaging. It serves as an introduction, overview, and reference for scientists and students across disciplines who are interested in human and primate vision and, more generally, in understanding how the brain represents and processes information.
Author: Yun Fu
Publisher: Springer Science & Business Media
ISBN: 1461444578
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.
Author: Bill Hammack
Publisher: Articulate Noise Books
ISBN: 0983966168
Category : Science
Languages : en
Pages : 130
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Book Description
This book celebrates a nineteenth century mechanical calculator that performed Fourier analysis by using gears, springs and levers to calculate with sines and cosines—an astonishing feat in an age before electronic computers. One hundred and fifty color photos reveal the analyzer’s beauty though full-page spreads, lush close-ups of its components, and archival photos of other Michelson-inspired analyzers. The book includes sample output from the machine and a reproduction of an 1898 journal article by Michelson, which first detailed the analyzer. The book is the official companion volume to the popular YouTube video series created by the authors.
