Download or read book Neural Theory and Model of Selective Visual Attention and 2D Shape Recognition in Visual Clutter written by Peter Lozo and published by . This book was released on 1996 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis proposes a neural theory, Selective Attention Adaptive Resonance Theory, and a neuro-engineered solution to selective visual attention, memory guided processing and illumination invariant recognition of complete (unoccluded), but distorted 2D shapes of 3D objects in cluttered visual images.
Download or read book Applied Intelligent Systems written by John Fulcher and published by Springer. This book was released on 2012-10-16 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans have always been hopeless at predicting the future...most people now generally agree that the margin of viability in prophecy appears to be 1 ten years. Even sophisticated research endeavours in this arena tend to go 2 off the rails after a decade or so. The computer industry has been particularly prone to bold (and often way off the mark) predictions, for example: ‘I think there is a world market for maybe five computers’ Thomas J. Watson, IBM Chairman (1943), ‘I have traveled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year’ Prentice Hall Editor (1957), ‘There is no reason why anyone would want a computer in their home’ Ken Olsen, founder of DEC (1977) and ‘640K ought to be enough for anybody’ Bill Gates, CEO Microsoft (1981). 3 The field of Artificial Intelligence – right from its inception – has been particularly plagued by ‘bold prediction syndrome’, and often by leading practitioners who should know better. AI has received a lot of bad press 4 over the decades, and a lot of it deservedly so. How often have we groaned in despair at the latest ‘by the year-20xx, we will all have...(insert your own particular ‘hobby horse’ here – e. g.
Download or read book AI 2005 Advances in Artificial Intelligence written by Shichao Zhang and published by Springer. This book was released on 2005-11-27 with total page 1369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 18th Australian Joint Conference on Artificial Intelligence (AI 2005) was held at the University of Technology, Sydney (UTS), Sydney, Australia from 5 to 9 December 2005. AI 2005 attracted a historical record number of submissions, a total of 535 papers. The review process was extremely selective. Out of these 535 submissions, the Program Chairs selected only 77 (14.4%) full papers and 119 (22.2%) short papers based on the review reports, making an acceptance rate of 36.6% in total. Authors of the accepted papers came from over 20 countries. This volume of the proceedings contains the abstracts of three keynote speeches and all the full and short papers. The full papers were categorized into three broad sections, namely: AI foundations and technologies, computational intelligence, and AI in specialized domains. AI 2005 also hosted several tutorials and workshops, providing an interacting mode for specialists and scholars from Australia and other countries. Ronald R. Yager, Geoff Webb and David Goldberg (in conjunction with ACAL05) were the distinguished researchers invited to give presentations. Their contributions to AI 2005 are really appreciated.
Download or read book Visual Selective Attention written by Claus Bundesen and published by Taylor & Francis. This book was released on 1995 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special issue of Visual Cognition features empirical and theoretical contributions by leading research scholars in the field. The volume begins with a general introduction and an authoritative review of work on spatial attention in the flankers task. Next, a series of empirical articles reports important new findings on visual selection by spatial location. A second section contrasts by presenting recent empirical findings on visual selection by other criteria. Finally, four articles present major theoretical statements on aspects of visual attention. As a whole, the issue forms a substantial contribution to the literature on visual selective attention.
Download or read book AI written by and published by . This book was released on 2005 with total page 1388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Tencon 97 Brisbane Australia Proceedings of IEEE TENCON 97 IEEE Region 10 Annual Conference written by Institute of Electrical and Electronics Engineers. Region 10. Conference and published by . This book was released on 1997 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings written by and published by . This book was released on 1999 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Innovations in Robot Mobility and Control written by Srikanta Patnaik and published by Springer. This book was released on 2006-04-20 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: There exists quite a vast literature on mobile robots, covering fundamental principles on motion control and path-planning in indoor environments using ultrasonic/laser transducers. However, there is a scarcity of books/collective documents on vision based navigation of mobile robots and multi-agent systems. The book Innovations in Robot Mobility and Control fills this gap. It attempts to develop interesting models for vision based map building in indoor and outdoor environments, precise motion control, navigation in dynamic environment, and above all multi-agent co-operation of robots. The most important aspects of this book is that the principles and models introduced in the text are all field-tested, and thus can readily be used in solving real world problems, such as factory automation, disposal of nuclear wastes, landmine clearing and computerized surgery. The chapters presented in the book have been contributed by specialist researchers from different disciplines of robotics. The book thus is unique in its contents and originality. Though contributed by several researchers, the presentation style of the book is uniform throughout. Primarily meant for graduate students and researchers in robotics, the book is equally useful to interested audience of any discipline for its contents and simplicity in presentation style.
Download or read book The Influence of Attention Learning and Motivation on Visual Search written by Michael D. Dodd and published by Springer Science & Business Media. This book was released on 2012-12-09 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Influence of Attention, Learning, and Motivation on Visual Search will bring together distinguished authors who are conducting cutting edge research on the many factors that influence search behavior. These factors will include low-level feature detection; statistical learning; scene perception; neural mechanisms of attention; and applied research in real world settings.
Download or read book Digital Signal Processing Applications written by and published by . This book was released on 1997 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book TENCON 97 Brisbane Australia written by Mohamed Deriche and published by . This book was released on 1997 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biologically based Interactive Neural Network Models for Visual Attention and Object Recognition written by Mohammad Saifullah and published by . This book was released on 2012 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main focus of this thesis is to develop biologically-based computational models for object recognition. A series of models for attention and object recognition were developed in the order of increasing functionality and complexity. These models are based on information processing in the primate brain, and specially inspired from the theory of visual information processing along the two parallel processing pathways of the primate visual cortex. To capture the true essence of incremental, constraint satisfaction style processing in the visual system, interactive neural networks were used for implementing our models. Results from eye-tracking studies on the relevant visual tasks, as well as our hypothesis regarding the information processing in the primate visual system, were implemented in the models and tested with simulations. As a first step, a model based on the ventral pathway was developed to recognize single objects. Through systematic testing, structural and algorithmic parameters of these models were fine tuned for performing their task optimally. In the second step, the model was extended by considering the dorsal pathway, which enables simulation of visual attention as an emergent phenomenon. The extended model was then investigated for visual search tasks. In the last step, we focussed on occluded and overlapped object recognition. A couple of eye-tracking studies were conducted in this regard and on the basis of the results we made some hypotheses regarding information processing in the primate visual system. The models were further advanced on the lines of the presented hypothesis, and simulated on the tasks of occluded and overlapped object recognition. On the basis of the results and analysis of our simulations we have further found that the generalization performance of interactive hierarchical networks improves with the addition of a small amount of Hebbian learning to an otherwise pure error-driven learning. We also concluded that the size of the receptive fields in our networks is an important parameter for the generalization task and depends on the object of interest in the image. Our results show that networks using hard coded feature extraction perform better than the networks that use Hebbian learning for developing feature detectors. We have successfully demonstrated the emergence of visual attention within an interactive network and also the role of context in the search task. Simulation results with occluded and overlapped objects support our extended interactive processing approach, which is a combination of the interactive and top-down approach, to the segmentation-recognition issue. Furthermore, the simulation behavior of our models is in line with known human behavior for similar tasks. In general, the work in this thesis will improve the understanding and performance of biologically-based interactive networks for object recognition and provide a biologically-plausible solution to recognition of occluded and overlapped objects. Moreover, our models provide some suggestions for the underlying neural mechanism and strategies behind biological object recognition.
Download or read book Converging Operations in the Study of Visual Selective Attention written by Arthur F. Kramer and published by Amer Psychological Assn. This book was released on 1996-01 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume represents the state of the art in research on visual selective attention, with a focus on the broad theme of converging operations. In 19 chapters, prominent scholars in the study of visual attention bring readers up to date on findings made possible over the past 15 years by new research methods and brain-imaging technologies. The first 5 chapters present a review and tutorial on the current issues of relevance to the study of visual selective attention, including specific research techniques and various theories, paradigms, and models. The remaining chapters provide cutting-edge research from multiple perspectives: behavioral studies, computational modeling, human research, and neural-imaging techniques. An examination of how disparate approaches from a variety of disciplines can be combined to provide an integrated view of visual selective attention is also presented. Converging Operations in the Study of Visual Selective Attention covers a broad scope of topics - inhibition, top-down and bottom-up control of attention, locus of selection, and representation - in reporting the range of research available from leaders in the field. In documenting these accomplishments, it sets the agenda for future studies.
Download or read book A Neural Network Model of Visual Attention and Object Classification written by Hayden Walles and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book What and where written by Sharat S. Chikkerur and published by . This book was released on 2010 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the theoretical framework described in this thesis, attention is part of the inference process that solves the visual recognition problem of what is where. The theory proposes a computational role for attention and leads to a model that predicts some of its main properties at the level of psychophysics and physiology. In our approach, the main goal of the visual system is to infer the identity and the position of objects in visual scenes: spatial attention emerges as a strategy to reduce the uncertainty in shape information while feature-based attention reduces the uncertainty in spatial information. Featural and spatial attention represent two distinct modes of a computational process solving the problem of recognizing and localizing objects, especially in difficult recognition tasks such as in cluttered natural scenes. We describe a specific computational model and relate it to the known functional anatomy of attention. We show that several well-known attentional phenomena - including bottom-up pop-out effects, multiplicative modulation of neuronal tuning curves and shift in contrast responses - emerge naturally as predictions of the model. We also show that the bayesian model predicts well human eye fixations (considered as a proxy for shifts of attention) in natural scenes. Finally, we demonstrate that the same model, used to modulate information in an existing feedforward model of the ventral stream, improves its object recognition performance in clutter.
Download or read book Biological and Computer Vision written by Gabriel Kreiman and published by Cambridge University Press. This book was released on 2021-02-04 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.
Download or read book Memory Attention and Decision making written by Edmund T. Rolls and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memory, attention, and decision-making are three major areas of psychology. They are frequently studied in isolation, and using a range of models to understand them. This book brings a unified approach to understanding these three processes. It shows how these fundamental functions forcognitive neuroscience can be understood in a common and unifying computational neuroscience framework. This framework links empirical research on brain function from neurophysiology, functional neuroimaging, and the effects of brain damage, to a description of how neural networks in the brainimplement these functions using a set of common principles. The book describes the principles of operation of these networks, and how they could implement such important functions as memory, attention, and decision-making.The topics covered includeThe hippocampus and memoryReward and punishment related learning: emotion and motivationVisual object recognition learningShort term memoryAttention, short term memory, and biased competitionProbabilistic decision-makingAction selectionDecision-makingAlso included are tutorial appendices onNeural networks in the brainNeural encoding in the brain'Memory, Attention and Decision-Making' will be valuable for those in the fields of neuroscience, psychology, and cognitive neuroscience from advanced undergraduate level upwards. It will also be of interest to those interested in neuroeconomics, animal behaviour, zoology, evolutionary biology,psychiatry, medicine, and philosophy. The book has been written with modular chapters and sections, making it possible to select particular Chapters for course work.
