Recognizing Patterns In Signals Speech Images And Videos

Author : International Association for Pattern Recognition
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 48,9 Mb
Release : 2011-01-04
Category : Computers
ISBN : 9783642177101

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Recognizing Patterns in Signals, Speech, Images, and Videos by International Association for Pattern Recognition Pdf

This book constitutes the refereed contest reports of the 20th International Conference on Pattern Recognition, ICPR 2010, held in Istanbul, Turkey, in August 2010. The 31 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains of Competence, GEPR - Graph Embedding for Pattern Recognition, ImageCLEF@ICPR - Information Fusion Task, ImageCLEF@ICPR - Visual Concept Detection Task, ImageCLEF@ICPR - Robot Vision Task, MOBIO - Mobile Biometry Face and Speaker Verification Evaluation, PR in HIMA - Pattern Recognition in Histopathological Images, SDHA 2010 - Semantic Description of Human Activities.

Author : Devrim Nay,Zehra Ataltepe,Selim Aksoy
Publisher : Unknown
Page : 328 pages
File Size : 49,8 Mb
Release : 2011-03-13
Category : Electronic
ISBN : 3642177123

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Recognizing Patterns in Signals, Speech, Images, and Videos by Devrim Nay,Zehra Ataltepe,Selim Aksoy Pdf

Author : Santhi, V.
Publisher : IGI Global
Page : 518 pages
File Size : 54,9 Mb
Release : 2016-01-07
Category : Computers
ISBN : 9781466696860

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Emerging Technologies in Intelligent Applications for Image and Video Processing by Santhi, V. Pdf

Image and Video Processing is an active area of research due to its potential applications for solving real-world problems. Integrating computational intelligence to analyze and interpret information from image and video technologies is an essential step to processing and applying multimedia data. Emerging Technologies in Intelligent Applications for Image and Video Processing presents the most current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. Featuring insight from researchers from around the world, this publication is designed for use by engineers, IT specialists, researchers, and graduate level students.

Author : Banmali S. Rawat,Aditya Trivedi,Sanjeev Manhas,Vikram Karwal
Publisher : Springer
Page : 627 pages
File Size : 40,6 Mb
Release : 2018-11-19
Category : Technology & Engineering
ISBN : 9789811325533

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Advances in Signal Processing and Communication by Banmali S. Rawat,Aditya Trivedi,Sanjeev Manhas,Vikram Karwal Pdf

This book is a collection of selected peer-reviewed papers presented at the International Conference on Signal Processing and Communication (ICSC 2018). It covers current research and developments in the fields of communications, signal processing, VLSI circuits and systems, and embedded systems. The book offers in-depth discussions and analyses of latest problems across different sub-fields of signal processing and communications. The contents of this book will prove to be useful for students, researchers, and professionals working in electronics and electrical engineering, as well as other allied fields.

Author : Pavan K. Turaga,Anuj Srivastava
Publisher : Springer
Page : 391 pages
File Size : 45,9 Mb
Release : 2015-11-09
Category : Technology & Engineering
ISBN : 9783319229577

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Riemannian Computing in Computer Vision by Pavan K. Turaga,Anuj Srivastava Pdf

This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2451 pages
File Size : 48,7 Mb
Release : 2018-02-02
Category : Computers
ISBN : 9781522552055

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Computer Vision: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Author : Daniel Cremers,Ian Reid,Hideo Saito,Ming-Hsuan Yang
Publisher : Springer
Page : 683 pages
File Size : 51,7 Mb
Release : 2015-04-16
Category : Computers
ISBN : 9783319168142

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Computer Vision -- ACCV 2014 by Daniel Cremers,Ian Reid,Hideo Saito,Ming-Hsuan Yang Pdf

The five-volume set LNCS 9003--9007 constitutes the thoroughly refereed post-conference proceedings of the 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014. The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3.

Author : Hassen Fourati
Publisher : CRC Press
Page : 632 pages
File Size : 55,5 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351830881

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Multisensor Data Fusion by Hassen Fourati Pdf

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Author : De Marsico, Maria
Publisher : IGI Global
Page : 506 pages
File Size : 48,5 Mb
Release : 2014-04-30
Category : Computers
ISBN : 9781466659674

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Face Recognition in Adverse Conditions by De Marsico, Maria Pdf

Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings. Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.

Author : Yun Fu,Yunqian Ma
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 48,8 Mb
Release : 2012-11-19
Category : Technology & Engineering
ISBN : 9781461444572

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Graph Embedding for Pattern Analysis by Yun Fu,Yunqian Ma Pdf

Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Author : Hiram Ponce,Lourdes Martínez-Villaseñor,Jorge Brieva,Ernesto Moya-Albor
Publisher : Springer Nature
Page : 263 pages
File Size : 45,5 Mb
Release : 2020-01-28
Category : Technology & Engineering
ISBN : 9783030387488

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Challenges and Trends in Multimodal Fall Detection for Healthcare by Hiram Ponce,Lourdes Martínez-Villaseñor,Jorge Brieva,Ernesto Moya-Albor Pdf

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples. This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.

Author : Kaspar Riesen
Publisher : Springer
Page : 158 pages
File Size : 51,9 Mb
Release : 2016-01-09
Category : Computers
ISBN : 9783319272528

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Structural Pattern Recognition with Graph Edit Distance by Kaspar Riesen Pdf

This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). The book also provides a detailed review of a diverse selection of novel methods related to GED, and concludes by suggesting possible avenues for future research. Topics and features: formally introduces the concept of GED, and highlights the basic properties of this graph matching paradigm; describes a reformulation of GED to a quadratic assignment problem; illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem; reviews strategies for reducing both the overestimation of the true edit distance and the matching time in the approximation framework; examines the improvement demonstrated by the described algorithmic framework with respect to the distance accuracy and the matching time; includes appendices listing the datasets employed for the experimental evaluations discussed in the book.

Author : Stauffer Michael,Fischer Andreas,Riesen Kaspar
Publisher : World Scientific
Page : 296 pages
File Size : 55,7 Mb
Release : 2019-07-24
Category : Computers
ISBN : 9789811206641

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Graph-based Keyword Spotting by Stauffer Michael,Fischer Andreas,Riesen Kaspar Pdf

Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Author : Matthias Dehmer,Frank Emmert-Streib
Publisher : CRC Press
Page : 528 pages
File Size : 45,8 Mb
Release : 2014-10-27
Category : Computers
ISBN : 9781466584525

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Quantitative Graph Theory by Matthias Dehmer,Frank Emmert-Streib Pdf

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical technique

Author : Smaranda Belciug
Publisher : Academic Press
Page : 310 pages
File Size : 40,9 Mb
Release : 2020-06-18
Category : Science
ISBN : 9780128204108

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Artificial Intelligence in Cancer by Smaranda Belciug Pdf

Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis. The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management. Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel Presents over 100 diagrams, making it easier to comprehend AI’s results on a specific problem through visual resources Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case