Blind Image Deconvolution Via Dispersion Minimization

Blind Image Deconvolution Via Dispersion Minimization PDF Author: Cabir Vural
Publisher:
ISBN:
Category :
Languages : en
Pages : 154

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Blind Image Deconvolution Via Dispersion Minimization

Blind Image Deconvolution Via Dispersion Minimization PDF Author: Cabir Vural
Publisher:
ISBN:
Category :
Languages : en
Pages : 154

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Book Description


Blind Equalization in Neural Networks

Blind Equalization in Neural Networks PDF Author: Liyi Zhang
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110450291
Category : Computers
Languages : en
Pages : 268

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Book Description
The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.

Opportunities and Challenges for Next-Generation Applied Intelligence

Opportunities and Challenges for Next-Generation Applied Intelligence PDF Author: Been-Chian Chien
Publisher: Springer Science & Business Media
ISBN: 3540928138
Category : Mathematics
Languages : en
Pages : 341

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Book Description
The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

International Conference on Digital Signal Processing Proceedings

International Conference on Digital Signal Processing Proceedings PDF Author:
Publisher:
ISBN:
Category : Signal processing
Languages : en
Pages : 924

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Book Description


Inverse Problems in Vision and 3D Tomography

Inverse Problems in Vision and 3D Tomography PDF Author: Ali Mohamad-Djafari
Publisher: John Wiley & Sons
ISBN: 1118600460
Category : Technology & Engineering
Languages : en
Pages : 369

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Book Description
The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.), and computer vision. In imaging systems, the aim is not just to estimate unobserved images but also their geometric characteristics from observed quantities that are linked to these unobserved quantities by a known physical or mathematical relationship. In this manner techniques such as image enhancement or addition of hidden detail can be delivered. This book focuses on imaging and vision problems that can be clearly described in terms of an inverse problem where an estimate for the image and its geometrical attributes (contours and regions) is sought. The book uses a consistent methodology to examine inverse problems such as: noise removal; restoration by deconvolution; 2D or 3D reconstruction in X-ray, tomography or microwave imaging; reconstruction of the surface of a 3D object using X-ray tomography or making use of its shading; reconstruction of the surface of a 3D landscape based on several satellite photos; super-resolution; motion estimation in a sequence of images; separation of several images mixed using instruments with different sensitivities or transfer functions; and much more.

Intelligent Data Engineering and Automated Learning - IDEAL 2006

Intelligent Data Engineering and Automated Learning - IDEAL 2006 PDF Author: Emilio Corchado
Publisher: Springer
ISBN: 354045487X
Category : Computers
Languages : en
Pages : 1473

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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006. The 170 revised full papers presented were carefully selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.

Journal of Machine Learning Research

Journal of Machine Learning Research PDF Author:
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages : 1416

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Book Description
An international forum covering all areas of machine learning.

Mathematical Reviews

Mathematical Reviews PDF Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 860

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Book Description


Blind Image Deconvolution

Blind Image Deconvolution PDF Author: Patrizio Campisi
Publisher: CRC Press
ISBN: 1420007297
Category : Technology & Engineering
Languages : en
Pages : 474

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Book Description
Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.

Computer Vision – ACCV 2018

Computer Vision – ACCV 2018 PDF Author: C. V. Jawahar
Publisher: Springer
ISBN: 3030208931
Category : Computers
Languages : en
Pages : 753

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Book Description
The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.