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Auditory and Visual Pattern Recognition

Auditory and Visual Pattern Recognition
Author: David J. Getty
Publisher: Routledge
Total Pages: 236
Release: 2017-03-31
Genre: Psychology
ISBN: 1315532603

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The systematic scientific investigation of human perception began over 130 years ago, yet relatively little is known about how we identify complex patterns. A major reason for this is that historically, most perceptual research focused on the more basic processes involved in the detection and discrimination of simple stimuli. This work progressed in a connectionist fashion, attempting to clarify fundamental mechanisms in depth before addressing the more complex problems of pattern recognition and classification. This extensive and impressive research effort built a firm basis from which to speculate about these issues. What seemed lacking, however, was an overall characterization of the recognition problem – a broad theoretical structure to direct future research in this area. Consequently, our primary objective in this volume, originally published in 1981, was not only to review existing contributions to our understanding of classification and recognition, but to project fruitful areas and directions for future research as well. The book covers four areas: complex visual patterns; complex auditory patterns; multi-dimensional perceptual spaces; theoretical pattern recognition.


Visual Pattern Recognition

Visual Pattern Recognition
Author: P. C. Dodwell
Publisher:
Total Pages: 276
Release: 1970
Genre: Pattern perception
ISBN:

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Visual Pattern Discovery and Recognition

Visual Pattern Discovery and Recognition
Author: Hongxing Wang
Publisher: Springer
Total Pages: 93
Release: 2017-06-14
Genre: Computers
ISBN: 9811048401

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This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.


Pattern Recognition by Humans and Machines

Pattern Recognition by Humans and Machines
Author: Eileen C. Schwab
Publisher: Elsevier
Total Pages: 261
Release: 2016-06-03
Genre: Psychology
ISBN: 1483214265

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Pattern Recognitions by Humans and Machines, Volume 2: Visual Perceptions covers aspects of research on visual perception. The book discusses visual form perception, figure-ground organization, and the spatial and temporal responses of the visual system; eye movements; and visual pattern perception. The text also describes a computer vision model based on psychophysical experiments; perspectives from brain theory and artificial intelligence; and the capacity to extract shape properties and spatial relations among objects and objects' parts. Knowledge-mediated perception is also considered. Psychologists and people involved in the study of visual perceptions will find the book useful.


Visual Pattern Recognition

Visual Pattern Recognition
Author: Jeffery John Franks
Publisher:
Total Pages: 118
Release: 1970
Genre: Information display systems
ISBN:

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Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision
Author: C. H. Chen
Publisher: World Scientific
Total Pages: 1045
Release: 1999
Genre: Computers
ISBN: 9812384731

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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.


Orthogonal Image Moments for Human-Centric Visual Pattern Recognition

Orthogonal Image Moments for Human-Centric Visual Pattern Recognition
Author: S. M. Mahbubur Rahman
Publisher: Springer Nature
Total Pages: 149
Release: 2019-10-11
Genre: Computers
ISBN: 9813299452

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Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition. The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.


Visual pattern recognition

Visual pattern recognition
Author: Michael Jack Magee
Publisher:
Total Pages: 234
Release: 1972
Genre: Perceptrons
ISBN:

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Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Y. Anzai
Publisher: Elsevier
Total Pages: 424
Release: 2012-12-02
Genre: Computers
ISBN: 0080513638

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This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.


Visual Pattern Analyzers

Visual Pattern Analyzers
Author: Norma Van Surdam Graham
Publisher: Oxford University Press
Total Pages: 663
Release: 1989-09-21
Genre: Medical
ISBN: 0198021887

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The visual system must extract from the light that falls on the retina meaningful information about what is where in our environment. At an early stage it analyzes the incoming sensory data along many dimensions of pattern vision, e.g. spatial frequency, orientation, velocity, eye-of-origin. Visual Pattern Analyzers provides a definitive account of current knowledge about this stage of visual processing. Nowhere else can such a comprehensive summarty of the lower level pattern analyzers be found. The book's emphasis is on psychophysical experiments measuring the detection and identification of near-threshold patterns -- and the mathematical models, such as multidimensional signal-detection theory, used to draw inferences from such experimental results -- but neurophysiological evidence is presented and compared critically to the psychophysical evidence. Introductory material on psychophysical methods, signal detection theory, and the mathematics of Fourier analysis is given in order to make the book more accessible to all who are interested in the lower or higher levels of visual perception. This volume will be of great value to researchers and graduate students in the fields of vision and perception. Within the scientific community there is wide interest in the visual system, and the book will be of use to investigators in many fields, including psychophysics, neuroscience, ophthalmology and optics, computer science, and cognitive and experimental psychology.