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Combinatorial optimization and in particular the great variety of fascinating problemsthatbelong to thisareahaveattractedmanyresearchersformorethan halfacentury.Duetothepracticalrelevanceofsolvinghardreal-worldproblems, much research e?ort has been devoted to the development of heuristic methods aimed at ?nding good approximate solutions in a reasonable computation time. Some solution paradigms that are not speci?c for one particular problem have been deeply studied in the past, and the term metaheuristic is now common for such optimization heuristics. Several metaheuristics - simulated annealing, - netic and evolutionary algorithms, tabu search, ant colony optimization, scatter search, iterated local search, and greedy randomized adaptive search procedures beingsomeofthem-havefoundtheirownresearchcommunities,andspecialized conferences devoted to such techniques have been organized. Plenty of classical hard problems, such as the quadratic assignment pr- lem, the traveling salesman problem, problems in vehicle routing, scheduling, and timetabling, etc., have been tackled successfully with metaheuristic - proaches. Several thereof are currently considered state-of-the-art methods for solving such problems. However, for many years the main focus of research was on the application of single metaheuristics to given problems. A tendency to compare di?erent metaheuristics against each other could be observed, and sometimes this competition led to thinking in stereotypes in the research communities.
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Embedded Computer Vision, exemplified by the migration from powerful workstations to embedded processors in computer vision applications, is a new and emerging field that enables an associated shift in application development and implementation. This comprehensive volume brings together a wealth of experiences from leading researchers in the field of embedded computer vision, from both academic and industrial research centers, and covers a broad range of challenges and trade-offs brought about by this paradigm shift. Part I provides an exposition of basic issues and applications in the area necessary for understanding the present and future work. Part II offers chapters based on the most recent research and results. Finally, the last part looks ahead, providing a sense of what major applications could be expected in the near future, describing challenges in mobile environments, video analytics, and automotive safety applications. Features: • Discusses the latest state-of-the-art techniques in embedded computer vision • Presents a thorough introductory section on hardware and architectures, design methodologies, and video analytics to aid the reader’s understanding through the following chapters • Offers emphasis on tackling important problems for society, safety, security, health, mobility, connectivity, and energy efficiency • Discusses evaluation of trade-offs required to design cost-effective systems for successful products • Explores the advantages of various architectures, development of high-level software frameworks and cost-effective algorithmic alternatives • Examines issues of implementation on fixed-point processors, presented through an example of an automotive safety application • Offers insights from leaders in the field on what future applications will be This book is a welcome collection of stand-alone articles, ideal for researchers, practitioners, and graduate students. It provides historical perspective, the latest research results, and a vision for future developments in the emerging field of embedded computer vision. Supplementary material can be found at http://www.embeddedvisioncentral.com.
Computer vision. --- Embedded computer systems. --- Embedded systems (Computer systems) --- Machine vision --- Vision, Computer --- Computer science. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computer systems --- Architecture Analysis and Design Language --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Vision par ordinateur. --- Systèmes embarqués (informatique) --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.
Computer science. --- Computer Communication Networks. --- Computer software. --- Computational complexity. --- Artificial intelligence. --- Optical pattern recognition. --- Computation by Abstract Devices. --- Computer Communication Networks. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Artificial Intelligence. --- Pattern Recognition.
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IbPRIA 2005 (Iberian Conference on Pattern Recognition and Image Analysis) was the second of a series of conferences jointly organized every two years by the Portuguese and Spanish Associations for Pattern Recognition (APRP, AERFAI), with the support of the International Association for Pattern Recognition (IAPR). This year, IbPRIA was hosted by the Institute for Systems and Robotics and the Geo-systems Center of the Instituto Superior Tecn ´ ico and it was held in Estoril, Por- gal. It provided the opportunity to bring together researchers from all over the world to discuss some of the most recent advances in pattern recognition and all areas of video, image and signal processing. There was a very positive response to the Call for Papers for IbPRIA 2005. We - ceived 292 full papers from 38 countries and 170 were accepted for presentation at the conference. The high quality of the scienti?c program of IbPRIA 2005 was due ?rst to the authors who submitted excellent contributions and second to the dedicated colla- ration of the international Program Committee and the other researchers who reviewed the papers. Each paper was reviewed by two reviewers, in a blind process. We would like to thank all the authors for submitting their contributions and for sharing their - search activities. We are particularly indebted to the Program Committee members and to all the reviewers for their precious evaluations, which permitted us to set up this publication.
Pattern recognition. --- Optical data processing. --- Artificial intelligence. --- Natural language processing (Computer science). --- Computer graphics. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Natural Language Processing (NLP). --- Computer Graphics.
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IbPRIA 2005 (Iberian Conference on Pattern Recognition and Image Analysis) was the second of a series of conferences jointly organized every two years by the Portuguese and Spanish Associations for Pattern Recognition (APRP, AERFAI), with the support of the International Association for Pattern Recognition (IAPR). This year, IbPRIA was hosted by the Institute for Systems and Robotics and the Geo-systems Center of the Instituto Superior Tecn ´ ico and it was held in Estoril, Por- gal. It provided the opportunity to bring together researchers from all over the world to discuss some of the most recent advances in pattern recognition and all areas of video, image and signal processing. There was a very positive response to the Call for Papers for IbPRIA 2005. We - ceived 292 full papers from 38 countries and 170 were accepted for presentation at the conference. The high quality of the scienti?c program of IbPRIA 2005 was due ?rst to the authors who submitted excellent contributions and second to the dedicated colla- ration of the international Program Committee and the other researchers who reviewed the papers. Each paper was reviewed by two reviewers, in a blind process. We would like to thank all the authors for submitting their contributions and for sharing their - search activities. We are particularly indebted to the Program Committee members and to all the reviewers for their precious evaluations, which permitted us to set up this publication.
Pattern recognition. --- Optical data processing. --- Artificial intelligence. --- Natural language processing (Computer science). --- Computer graphics. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Natural Language Processing (NLP). --- Computer Graphics.
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The computational paradigm considered here is a conceptual, theoretical and formal framework situated above machines and living creatures (two instant- tions), su?ciently solid, and still non-exclusive, that allows us: 1. tohelpneuroscientiststoformulateintentions,questions,experiments,me- ods and explanation mechanisms assuming that neural circuits are the p- chological support of calculus; 2. to help scientists and engineers from the ?elds of arti?cial intelligence (AI) and knowledge engineering (KE) to model, formalize and program the c- putable part of human knowledge; 3. to establish an interaction framework between natural system computation (NSC) and arti?cial system computation (ASC) in both directions, from ASC to NSC (in computational neuroscience), and from NSC to ASC (in bioinspired computation). With these global purposes, we organized IWINAC 2005, the 1st International Work Conference on the Interplay Between Natural and Arti?cial Computation, whichtookplaceinLasPalmasdeGranCanaria,CanaryIslands(Spain),during June 15-18, 2005, trying to contribute to both directions of the interplay: I: From Arti?cial to Natural Computation. What can computation, arti?cial intelligence (AI) and knowledge engineering (KE) contribute to the und- standing of the nervous system, cognitive processes and social behavior? This is the scope of computational neuroscience and cognition, which uses the computational paradigm to model and improve our understanding of natural science.
Computers. --- Algorithms. --- Artificial intelligence. --- Optical data processing. --- Pattern recognition. --- Evolutionary biology. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Evolutionary Biology.
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The computational paradigm considered here is a conceptual, theoretical and formal framework situated above machines and living creatures (two instant- tions), su?ciently solid, and still non-exclusive, that allows us: 1. tohelpneuroscientiststoformulateintentions,questions,experiments,me- ods and explanation mechanisms assuming that neural circuits are the p- chological support of calculus; 2. to help scientists and engineers from the ?elds of arti?cial intelligence (AI) and knowledge engineering (KE) to model, formalize and program the c- putable part of human knowledge; 3. to establish an interaction framework between natural system computation (NSC) and arti?cial system computation (ASC) in both directions, from ASC to NSC (in computational neuroscience), and from NSC to ASC (in bioinspired computation). With these global purposes, we organized IWINAC 2005, the 1st International Work Conference on the Interplay Between Natural and Arti?cial Computation, whichtookplaceinLasPalmasdeGranCanaria,CanaryIslands(Spain),during June 15-18, 2005, trying to contribute to both directions of the interplay: I: From Arti?cial to Natural Computation. What can computation, arti?cial intelligence (AI) and knowledge engineering (KE) contribute to the und- standing of the nervous system, cognitive processes and social behavior? This is the scope of computational neuroscience and cognition, which uses the computational paradigm to model and improve our understanding of natural science.
Computers. --- Algorithms. --- Artificial intelligence. --- Optical data processing. --- Pattern recognition. --- Evolutionary biology. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Evolutionary Biology.
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The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.
Computer science. --- Computer Communication Networks. --- Computer software. --- Computational complexity. --- Artificial intelligence. --- Optical pattern recognition. --- Computation by Abstract Devices. --- Computer Communication Networks. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Artificial Intelligence. --- Pattern Recognition.
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ICISP 2010, the International Conference on Image and Signal Processing, was the fourth ICISP conference, and was held in Trois-Rivi` eres, Qu´ ebec, Canada. Historically, ICISP is a conference resulting from the actions of researchers of Canada,FranceandMorocco.PreviouseditionsofICISPwereheldinCherbourg- Octeville (France), Agadir (Morocco), and Agadir (Morocco) in 2008, 2003 and 2001, respectively. ICISP 2010 was sponsored by EURASIP (European Assoc- tion for Image and Signal Processing) and IAPR (International Association for Pattern Recognition). The response to the call for papers for ICISP 2010 was encouraging. From 165 full papers submitted, 69 were ?nally accepted (54 oral presentations, and 15 posters). The review process was carried out by the Program Committee members; all are experts in various image and signal processing areas. Each paper was reviewed by atleast two reviewers,and also checkedby the conference Co-chairs. The quality of the papers in these proceedings is attributed ?rst to the authors, and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, and we thank the reviewers for their excellent work. We wereverypleasedto be ableto include inthe conferenceprogramkeynote talks by three world-renowned experts: Yann Lecun, Silver Professor of C- puter Science and Neural Science, The Courant Institute of Mathematical S- ences and Center for Neural Science, New York University (USA); Theo Gevers, Associate Professor, Faculty of Science, University of Amsterdam (The Neth- lands);andLeoGrady,SeniorMemberofTechnicalSta?withSiemensCorporate Research in Princeton, New Jersey (USA).
Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Algorithm Analysis and Problem Complexity. --- Computer Graphics. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Biometrics. --- Computer science. --- Computer software. --- Computer vision. --- Computer graphics. --- Optical pattern recognition. --- Biometrics. --- Informatique --- Logiciels --- Vision par ordinateur --- Infographie --- Reconnaissance optique des formes (Informatique)
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Human object recognition is a classical topic both for philosophy and for the natural sciences. The idea that visual recognition is action oriented developed in philosophy and psychology but inspired the approaches of sensory-motor integration in physiology and active vision in robotics. Attention, originally a psychological concept, is now a hot topic both for the neurosciences and computer science. Indeed, problems of competition among concurrent processes of data analysis, task requirements, and economic allocation of processing resources remain to be solved. Ultimately, understanding of object recognition will be promoted by the cooperation of behavioral research, neurophysiology, and computation. This book provides an excellent introduction to the issues that are involved, with chapters that address the ways in which humans and machines attend to, recognize, and act toward objects in the visual environment.
Biomedicine. --- Neurosciences. --- Neurobiology. --- Medicine. --- Médecine --- Neurosciences --- Neurobiologie --- Attention -- physiology. --- Motion Perception -- physiology. --- Pattern Recognition, Visual -- physiology. --- Recognition (Psychology). --- Visual perception. --- Visual perception --- Recognition (Psychology) --- Pattern Recognition, Visual --- Attention --- Motion Perception --- Memory --- Pattern Recognition, Physiological --- Visual Perception --- Form Perception --- Arousal --- Learning --- Psychophysiology --- Perception --- Space Perception --- Psychological Phenomena and Processes --- Mental Processes --- Psychiatry and Psychology --- Neurology --- Psychology --- Neuroscience --- Human Anatomy & Physiology --- Social Sciences --- Medicine --- Health & Biological Sciences --- Optics, Psychological --- Vision --- Psychological aspects --- Neural sciences --- Neurological sciences --- Medical sciences --- Nervous system --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Pathology --- Physicians --- Visual discrimination
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