Fast Learning And Invariant Object Recognition

Author : Branko Soucek,The IRIS Group
Publisher : Wiley-Interscience
Page : 306 pages
File Size : 50,9 Mb
Release : 1992-05-07
Category : Computers
ISBN : UOM:39015025151831

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Fast Learning and Invariant Object Recognition by Branko Soucek,The IRIS Group Pdf

This applications-oriented book presents, for the first time, Learning-Generalization-Seeing-Recognition Hybrids. Numerous new learning algorithms are described, including holographic networks, adaptive decoupled momentum, feature construction, second-order gradient, and adaptive-symbolic methods. Object recognition systems in real-time applications are presented and include massively parallel and systolic array implementations. These systems exhibit up to 2 billion operations and over 300 billion connections per second. Position, scale and rotation invariant systems for industrial machine vision are presented, including testing of IC chips; flying object recognition; space shuttle and aircraft experiments; detection of moving objects; shape recognition in manufacturing; recognition of occluded objects; biomedical image classification; three-dimensional ultrasonic imaging in clinical ophthalmology, and others. New invariant object recognition paradigms include orthogonal sets of feature layers; higher-order neural networks; detection of movement-attention-tracking; landmark matching; segmentation of three-dimensional images; dynamic links on the reduced mesh of trees. Fast Learning and Invariant Object Recognition presents a unified treatment of material that has previously been scattered worldwide in a number of research reports, as well as previously unpublished methods and results from the IRIS (Integration of Reasoning, Informing and Serving) Group.

Author : Science Society Cognitive, Con,POLSON
Publisher : Psychology Press
Page : 1080 pages
File Size : 50,6 Mb
Release : 1993
Category : Psychology
ISBN : 0805814876

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Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society by Science Society Cognitive, Con,POLSON Pdf

This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 15th annual meeting of the Cognitive Science Society.

Author : Moshe Bar
Publisher : Oxford University Press
Page : 400 pages
File Size : 52,8 Mb
Release : 2011-05-10
Category : Psychology
ISBN : 9780190453244

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Predictions in the Brain by Moshe Bar Pdf

When one is immersed in the fascinating world of neuroscience findings, the brain might start to seem like a collection of "modules," each specializes in a specific mental feat. But just like in other domains of Nature, it is possible that much of the brain and mind's operation can be explained with a small set of universal principles. Given exciting recent developments in theory, empirical findings and computational studies, it seems that the generation of predictions might be one strong candidate for such a universal principle. This is the focus of Predictions in the brain. From the predictions required when a rat navigates a maze to food-caching in scrub-jays; from predictions essential in decision-making to social interactions; from predictions in the retina to the prefrontal cortex; and from predictions in early development to foresight in non-humans. The perspectives represented in this collection span a spectrum from the cellular underpinnings to the computational principles underlying future-related mental processes, and from systems neuroscience to cognition and emotion. In spite of this diversity, they share some core elements. Memory, for instance, is critical in any framework that explains predictions. In asking "what is next?" our brains have to refer to memory and experience on the way to simulating our mental future. But as much as this collection offers answers to important questions, it raises and emphasizes outstanding ones. How are experiences coded optimally to afford using them for predictions? How do we construct a new simulation from separate memories? How specific in detail are future-oriented thoughts, and when do they rely on imagery, concepts or language? Therefore, in addition to presenting the state-of-the-art of research and ideas about predictions as a universal principle in mind and brain, it is hoped that this collection will stimulate important new research into the foundations of our mental lives.

Author : Evgeniy Bart,Jay Hegdé
Publisher : Frontiers E-books
Page : 195 pages
File Size : 52,8 Mb
Release : 2024-06-11
Category : Electronic
ISBN : 9782889190768

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Invariant Recognition of Visual Objects by Evgeniy Bart,Jay Hegdé Pdf

This Research Topic will focus on how the visual system recognizes objects regardless of variations in the viewpoint, illumination, retinal size, background, etc. Contributors are encouraged to submit articles describing novel results, models, viewpoints, perspectives and/or methodological innovations relevant to this topic. The issues we wish to cover include, but are not limited to, perceptual invariance under one or more of the following types of image variation: • Object shape • Task • Viewpoint (from the translation and rotation of the object relative to the viewer) • Illumination, shading, and shadows • Degree of occlusion • Retinal size • Color • Surface texture • Visual context, including background clutter and crowding • Object motion (including biological motion). Examples of questions that are particularly interesting in this context include, but are not limited to: • Empirical characterizations of properties of invariance: does invariance always exist? How wide is its range and how strong is the tolerance to viewing conditions within this range? • Invariance in naïve vs. experienced subjects: Is invariance built-in or learned? How can it be learned, under which conditions and how effectively? Is it learned incidentally, or are specific task and reward structures necessary for learning? How is generalizability and transfer of learning related to the generalizability/invariance of perception? • Invariance during inference: Are there conditions (e.g. fast presentation time or otherwise resource-constrained recognition) when invariance breaks? • What are some plausible computational or neural mechanisms by which invariance could be achieved?

Author : Okechukwu A. Uwechue,Abhijit S. Pandya
Publisher : Springer Science & Business Media
Page : 132 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461540922

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Human Face Recognition Using Third-Order Synthetic Neural Networks by Okechukwu A. Uwechue,Abhijit S. Pandya Pdf

Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

Author : Temel, Turgay
Publisher : IGI Global
Page : 412 pages
File Size : 47,5 Mb
Release : 2010-10-31
Category : Medical
ISBN : 9781609600204

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System and Circuit Design for Biologically-Inspired Intelligent Learning by Temel, Turgay Pdf

"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.

Author : Shigeyoshi Tsutsui
Publisher : Routledge
Page : 480 pages
File Size : 48,5 Mb
Release : 2022-01-27
Category : Technology & Engineering
ISBN : 9781351437721

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Intelligent Biometric Techniques in Fingerprint and Face Recognition by Shigeyoshi Tsutsui Pdf

The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, and limited only by the imaginations of scientists and engineers. This growing interest poses new challenges to the fields of expert systems, neural networks, fuzzy systems, and evolutionary computing, which offer the advantages of learning abilities and human-like behavior. Authored by a panel of international experts, this book presents a thorough treatment of established and emerging applications and techniques relevant to this field.

Author : David M. Skapura
Publisher : Addison-Wesley Professional
Page : 308 pages
File Size : 41,6 Mb
Release : 1996
Category : Computers
ISBN : 0201539217

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Building Neural Networks by David M. Skapura Pdf

Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are more suitable than others for solving specific kinds of problems. Skapura also reviews principles of neural information processing and furnishes an operations summary of the most popular neural-network processing models.

Author : D. Remenyi
Publisher : Academic Conferences Limited
Page : 664 pages
File Size : 45,5 Mb
Release : 2004-01-01
Category : Distance education
ISBN : 9780954709679

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ECEL2004-3rd European Conference on E-Learning by D. Remenyi Pdf

Author : Peter Bock
Publisher : World Scientific Publishing Company
Page : 344 pages
File Size : 48,5 Mb
Release : 1993-03-17
Category : Computers
ISBN : 9789813103344

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The Emergence of Artificial Cognition by Peter Bock Pdf

In this extraordinary new book, a pioneer in the research on Collective Learning Systems (an adaptive learning paradigm for artificial intelligence) describes the processes and mechanisms of human and artificial cognition, defines a fundamental building block for assembling large-scale adaptive systems (the learning cell) and proposes a design for the ultimate machine: a hierarchical network of 100 million learning cells that could exhibit the full range of cognitive capabilities of the human cerebral cortex. The author demonstrates that using the classical “expert system” approach to create such a vast knowledge base would require thousands of years to program all the necessary rules. He then explains how an adaptive Collective Learning System could achieve this goal in a matter of 20 years, much as humans do. Based on natural anatomical and behavioral precedents, Collective Learning enables a machine to learn the appropriate rules through trial-and-error interaction with the real world. In the course of explaining the principles of Collective Learning and his design for the ultimate machine, the author introduces a new theory of games for modelling the processes of the universe and discusses the philosophical issues raised by the prospect of creating machines that exhibit human-like intelligence. In addition to a number of small-scale software illustrations of Collective Learning, the final chapter presents the remarkable results of a large-scale research project directed by the author: a hardware and software simulation of the sub-symbolic image-processing functions of the primary visual cortex of the brain. To make the content palatable to a wide variety of readers, the book is written in a conversational style and laced with humor. Lengthy mathematical derivations and proofs have been omitted or abbreviated. Bibliographical references to scholarly journal papers and books are included to guide theoreticians to the attendant formalisms.

Author : Matthew M. Huntbach,Graem A. Ringwood
Publisher : Springer
Page : 394 pages
File Size : 45,8 Mb
Release : 2003-07-31
Category : Computers
ISBN : 9783540479383

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Agent-Oriented Programming by Matthew M. Huntbach,Graem A. Ringwood Pdf

A book that furnishes no quotations is, me judice, no book – it is a plaything. TL Peacock: Crochet Castle The paradigm presented in this book is proposed as an agent programming language. The book charts the evolution of the language from Prolog to intelligent agents. To a large extent, intelligent agents rose to prominence in the mid-1990s because of the World Wide Web and an ill-structured network of multimedia information. Age- oriented programming was a natural progression from object-oriented programming which C++ and more recently Java popularized. Another strand of influence came from a revival of interest in robotics [Brooks, 1991a; 1991b]. The quintessence of an agent is an intelligent, willing slave. Speculation in the area of artificial slaves is far more ancient than twentieth century science fiction. One documented example is found in Aristotle’s Politics written in the fourth century BC. Aristotle classifies the slave as “an animate article of property”. He suggests that slaves or subordinates might not be necessary if “each instrument could do its own work at command or by anticipation like the statues of Daedalus and the tripods of Hephaestus”. Reference to the legendary robots devised by these mythological technocrats, the former an artificer who made wings for Icarus and the latter a blacksmith god, testify that the concept of robot, if not the name, was ancient even in Aristotle’s time.

Author : G. M. P. O'Hare,N. R. Jennings
Publisher : John Wiley & Sons
Page : 598 pages
File Size : 55,6 Mb
Release : 1996-04-05
Category : Computers
ISBN : 0471006750

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Foundations of Distributed Artificial Intelligence by G. M. P. O'Hare,N. R. Jennings Pdf

Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions from leaders in the field. Commences with a solid introduction to the theoretical and practical issues of DAI, followed by a discussion of the core research topics--communication, coordination, planning--and how they are related to each other. The third section describes a number of DAI testbeds, illustrating particular strategies commissioned to provide software environments for building and experimenting with DAI systems. The final segment contains contributions which consider DAI from different perspectives.

Author : Branko Souček
Publisher : Bentham Science Publishers
Page : 220 pages
File Size : 47,8 Mb
Release : 2013-05-21
Category : Computers
ISBN : 9781608054947

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Better Life and Business by Branko Souček Pdf

Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is an e-book that defines the fascinating new discipline: BRAINLIFEBIZ . BRAINLIFEBIZ combines new discoveries in neurobiology, behavior and medicine with novel concepts related to conscious software programming, automation, system adaptation, module selection , self -organization and automatic discovery. In other words, BRAINLIFEBIZ is a science of the consciousness, bio quantum / random chaos computations, self-organized event trains and processes with several conditions (continuous and discrete; without leadership and central control etc.). The goal of BRAINLIFEBIZ is to create a perfect computer model that simulates animal and human behavior in a computerized experimental setting. This volume presents simulations of the firefly, cricket, katydid, frog, bird and human prefrontal cortex. The book breaks across the lines that separate scientific disciplines. It explains the global nature of the specific intelligent systems outlined above. These intelligent systems features include learning, self- organization, fuzzy logic, high speed signal processing and process control. These features are employed to generate an intelligence map. The map presents figures and equations, curves and data for major ‘Elementary Processes’: aggression, mimicry, chaos, trains, pile up, attractions, courting, mating, emotion, reasoning and consciousness . ‘Elementary Processes’ are then simulated to interact with each other and form millions of complex processes explained by universal laws behind the cell, brain, mind, sex. These laws explain, in a new way, natural selection and reproductive success in the local and global society and business. These laws can be applied in a variety of situations - from everyday stress-free life, to intelligent business decision making, but with a solid biomedical and scientific foundation. The theory behind intelligent systems can be viewed as a complement to the genetic DNA code. The brain generates various brain event trains which allow it to store information in dispersed neural networks (biologically speaking, in 25 billions of neurons some of which with thousands of synapses dispersed over the cortex). The book explains the fast, precise and clear neural diagnostic process as well as the extremely flexible powerful leader mind. Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is, therefore, a valuable reference for researchers to the fascinating world of natural and man -made intelligent systems and their applications in business situations and personal lives.

Author : José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 50,5 Mb
Release : 2010-09-13
Category : Computers
ISBN : 9783642159916

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Advances in Pattern Recognition by José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler Pdf

This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.

Author : José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Publisher : Springer
Page : 384 pages
File Size : 44,7 Mb
Release : 2010-12-22
Category : Computers
ISBN : 9783642159923

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Advances in Pattern Recognition by José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler Pdf

Annotation. This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.