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Robust Range Image Registration


Robust Range Image Registration
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Robust Range Image Registration


Robust Range Image Registration
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Author : Luciano Afonso da Silva
language : en
Publisher: World Scientific
Release Date : 2005

Robust Range Image Registration written by Luciano Afonso da Silva and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned.



Image Analysis And Processing Iciap 2005


Image Analysis And Processing Iciap 2005
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Author : Fabio Roli
language : en
Publisher: Springer
Release Date : 2005-11-18

Image Analysis And Processing Iciap 2005 written by Fabio Roli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-18 with Computers categories.


This volume contains the Proceedings of the 13th International Conference on Image Analysis and Processing (ICIAP 2005), held in Cagliari, Italy, at the conference centre “Centro della Cultura e dei Congressi”, on September 6–8, 2005. ICIAP 2005 was the thirteenth edition of a series of conferences organized every two years by the Italian group of researchersa?liated to the International Association for Pattern Recognition (GIRPR) with the aim to bring together researchers in image processing and pattern recognition from around the world. As for the previous editions, conference topics concerned the theory of image analysis and processing and its classical and Internet-driven applications. The central theme of ICIAP 2005 was “Pattern Recognition in the Internet and Mobile Communications Era”. The interest for such a theme was con?rmed by the large number of papers dealing with it, the special session devoted to pattern recognition for computer network security, and the emphasis of two invited talks on Internet and mobile communication issues. ICIAP 2005 received 217 paper submissions. Fifteen papers were collected into the two special sessions dealing with Pattern Recognition for Computer Network Security and Computer Vision for Augmented Reality and Augmented Environments.



Computational Intelligence In Software Quality Assurance


Computational Intelligence In Software Quality Assurance
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Author : Scott Dick
language : en
Publisher: World Scientific
Release Date : 2005

Computational Intelligence In Software Quality Assurance written by Scott Dick and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


Software systems surround us. Software is a critical component in everything from the family car through electrical power systems to military equipment. As software plays an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining are brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.



Decomposition Methodology For Knowledge Discovery And Data Mining Theory And Applications


Decomposition Methodology For Knowledge Discovery And Data Mining Theory And Applications
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Author : Oded Z Maimon
language : en
Publisher: World Scientific Publishing Company
Release Date : 2005-05-30

Decomposition Methodology For Knowledge Discovery And Data Mining Theory And Applications written by Oded Z Maimon and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-30 with Computers categories.


Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are then joined together to solve the initial problem.The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification of the problem; enhanced feasibility for huge databases; clearer and more comprehensible results; reduced runtime by solving smaller problems and by using parallel/distributed computation; and the opportunity of using different techniques for individual sub-problems.



Dissimilarity Representation For Pattern Recognition The Foundations And Applications


Dissimilarity Representation For Pattern Recognition The Foundations And Applications
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Author : Robert P W Duin
language : en
Publisher: World Scientific
Release Date : 2005-11-22

Dissimilarity Representation For Pattern Recognition The Foundations And Applications written by Robert P W Duin and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-22 with Computers categories.


This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition.Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis.With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.



Fighting Terror In Cyberspace


Fighting Terror In Cyberspace
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Author : Mark Last
language : en
Publisher: World Scientific
Release Date : 2005-10-11

Fighting Terror In Cyberspace written by Mark Last and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-11 with Computers categories.


As became apparent after the tragic events of September 11, 2001, terrorist groups are increasingly using the Internet as a communication and propaganda tool where they can safely communicate with their affiliates, coordinate action plans, raise funds, and introduce new supporters to their networks. This is evident from the large number of web sites run by different terrorist organizations, though the URLs and geographical locations of these web sites are frequently moved around the globe. The wide use of the Internet by terrorists makes some people think that the risk of a major cyber-attack against the communication infrastructure is low. However, this situation may change abruptly once the terrorists decide that the Net does not serve their purposes anymore and, like any other invention of our civilization, deserves destruction.Fighting Terror in Cyberspace is a unique volume, which provides, for the first time, a comprehensive overview of terrorist threats in cyberspace along with state-of-the-art tools and technologies that can deal with these threats in the present and in the future. The book covers several key topics in cyber warfare such as terrorist use of the Internet, the Cyber Jihad, data mining tools and techniques of terrorist detection on the web, analysis and detection of terror financing, and automated identification of terrorist web sites in multiple languages. The contributors include leading researchers on international terrorism, as well as distinguished experts in information security and cyber intelligence. This book represents a valuable source of information for academic researchers, law enforcement and intelligence experts, and industry consultants who are involved in detection, analysis, and prevention of terrorist activities on the Internet.



Graph Theoretic Techniques For Web Content Mining


Graph Theoretic Techniques For Web Content Mining
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Author : Adam Schenker
language : en
Publisher: World Scientific
Release Date : 2005

Graph Theoretic Techniques For Web Content Mining written by Adam Schenker and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance ? a relatively new approach for determining graph similarity ? the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms.To demonstrate and investigate these novel techniques, the authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual substance. Several methods of representing web document content by graphs are introduced; an interesting feature of these representations is that they allow for a polynomial time distance computation, something which is typically an NP-complete problem when using graphs. Experimental results are reported for both clustering and classification in three web document collections using a variety of graph representations, distance measures, and algorithm parameters.In addition, this book describes several other related topics, many of which provide excellent starting points for researchers and students interested in exploring this new area of machine learning further. These topics include creating graph-based multiple classifier ensembles through random node selection and visualization of graph-based data using multidimensional scaling.



Formal Models Languages And Applications


Formal Models Languages And Applications
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Author : K G Subramanian
language : en
Publisher: World Scientific
Release Date : 2006-07-17

Formal Models Languages And Applications written by K G Subramanian and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-17 with Computers categories.


A collection of articles by leading experts in theoretical computer science, this volume commemorates the 75th birthday of Professor Rani Siromoney, one of the pioneers in the field in India. The articles span the vast range of areas that Professor Siromoney has worked in or influenced, including grammar systems, picture languages and new models of computation.



Geometric Modeling And Processing Gmp 2006


Geometric Modeling And Processing Gmp 2006
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Author : Myung-Soo Kim
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-11

Geometric Modeling And Processing Gmp 2006 written by Myung-Soo Kim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-11 with Computers categories.


This book constitutes the refereed proceedings of the 4th International Conference on Geometric Modeling and Processing, GMP 2006, held in Pittsburgh, PA, USA in July 2006. The 36 revised full papers and 21 revised short papers presented were carefully reviewed and selected from a total of 84 submissions. All current issues in the area of geometric modeling and processing are addressed and the impact in such areas as computer graphics, computer vision, machining, robotics, and scientific visualization is shown. The papers are organized in topical sections on shape reconstruction, curves and surfaces, geometric processing, shape deformation, shape description, shape recognition, geometric modeling, subdivision surfaces, and engineering applications.



Computer Vision Eccv 2022 Workshops


Computer Vision Eccv 2022 Workshops
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Author : Leonid Karlinsky
language : en
Publisher: Springer Nature
Release Date : 2023-02-11

Computer Vision Eccv 2022 Workshops written by Leonid Karlinsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-11 with Computers categories.


The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.