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Pattern Recognition And Information Forensics
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Book Synopsis Pattern Recognition and Information Forensics by : Zhaoxiang Zhang
Download or read book Pattern Recognition and Information Forensics written by Zhaoxiang Zhang and published by Springer. This book was released on 2019-01-02 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference on Pattern Recognition, Beijing, China, in August 2018: the Third International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, the 7th International Workshop on Computational Forensics, IWCF 2018, and the International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018.The 16 full papers presented in this book were carefully reviewed and selected from 23 submissions. CVAUI Workshop: The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. IWCF Workshop: With the advent of high-end technology, fraudulent efforts are on rise in many areas of our daily life, may it be fake paper documents, forgery in the digital domain or copyright infringement. In solving the related criminal cases use of pattern recognition (PR) principles is also gaining an important place because of their ability in successfully assisting the forensic experts to solve many of such cases. MIPPSNA Workshop: Its goal is to compile the latest research advances on the analysis of multimodal information for facing problems that are not visually obvious, this is, problems for which the sole visual analysis is insufficient to provide a satisfactory solution.
Book Synopsis Pattern Recognition and Information Forensics by : Zhaoxiang Zhang
Download or read book Pattern Recognition and Information Forensics written by Zhaoxiang Zhang and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference on Pattern Recognition, Beijing, China, in August 2018: the Third International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, the 7th International Workshop on Computational Forensics, IWCF 2018, and the International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018. The 16 full papers presented in this book were carefully reviewed and selected from 23 submissions. CVAUI Workshop: The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. IWCF Workshop: With the advent of high-end technology, fraudulent efforts are on rise in many areas of our daily life, may it be fake paper documents, forgery in the digital domain or copyright infringement. In solving the related criminal cases use of pattern recognition (PR) principles is also gaining an important place because of their ability in successfully assisting the forensic experts to solve many of such cases. MIPPSNA Workshop: Its goal is to compile the latest research advances on the analysis of multimodal information for facing problems that are not visually obvious, this is, problems for which the sole visual analysis is insufficient to provide a satisfactory solution.
Book Synopsis Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by : Romil Rawat
Download or read book Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence written by Romil Rawat and published by Information Science Reference. This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The reference book will show the depth of Darkweb Environment by highlighting the Attackers techniques, crawling of hidden contents, Intrusion detection using advance algorithms, TOR Network structure, Memex search engine indexing of anonymous contents at Online Social Network, and more"--
Book Synopsis Pattern Recognition, Machine Intelligence and Biometrics by : Patrick S. P. Wang
Download or read book Pattern Recognition, Machine Intelligence and Biometrics written by Patrick S. P. Wang and published by Springer Science & Business Media. This book was released on 2012-02-13 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.
Book Synopsis Pattern Recognition by : Sergios Theodoridis
Download or read book Pattern Recognition written by Sergios Theodoridis and published by Elsevier. This book was released on 2003-05-15 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :030945140X Total Pages :63 pages Book Rating :4.3/5 (94 download)
Book Synopsis Personnel Selection in the Pattern Evidence Domain of Forensic Science by : National Academies of Sciences, Engineering, and Medicine
Download or read book Personnel Selection in the Pattern Evidence Domain of Forensic Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-02-20 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: In July 2016 The National Academies of Sciences, Engineering, and Medicine convened a workshop with the goal of bringing together industrial and organizational (I-O) psychologists, experts on personnel selection and testing, forensic scientists, and other researchers whose work has a nexus with workforce needs in the forensic science field with a focus on pattern evidence. Participants reviewed the current status of selection and training of forensic scientists who specialize in pattern evidence and discussed how tools used in I-O psychology to understand elements of a task and measure aptitude and performance could address challenges in the pattern evidence domain of the forensic sciences. This publication summarizes the presentations and discussions from the workshop.
Book Synopsis Forensic Pattern Recognition by : Robert D. Keppel
Download or read book Forensic Pattern Recognition written by Robert D. Keppel and published by Prentice Hall. This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-of-a-kind, this innovative reference presents a detailed look at the methods of forensic pattern recognition, preservation and processing for the five major forensic patterns. Written in clear, understandable language, it draws on the author's vast crime scene experience and research conducted at Sam Houston State University. Its in-depth coverage offers techniques excluded from other book and its focus is on how to preserve and process fingerprints, footwear impressions, tire impressions, bite marks and tool marks. Key illustrations and contributions from researchers make this a valuable resource in the field. Discusses intricate details of forensic pattern analyses necessary for proper recognition, preservation and processing of evidence. Includes coverage of latent and patent fingerprints, shoe impressions, known standards, tire impressions, three dimensional impression evidence, methods of comparing bite mark evidence, procedures for casting tool marks and more. Uses basic vocabulary to describe procedures for processing crime scenes with forensic patterns. Demonstrates forensic patterns and processing methods for the reader using concrete examples. This book has been designed and developed as a resources for police officers and investigators.
Book Synopsis Handbook of Biometrics for Forensic Science by : Massimo Tistarelli
Download or read book Handbook of Biometrics for Forensic Science written by Massimo Tistarelli and published by Springer. This book was released on 2017-02-01 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to tackle them. These include identity-related scenarios which cannot be solved with traditional approaches, such as attacks on security systems and the identification of abnormal/dangerous behaviors from remote cameras. Features: provides an in-depth analysis of the state of the art, together with a broad review of the available technologies and their potential applications; discusses potential future developments in the adoption of advanced technologies for the automated or semi-automated analysis of forensic traces; presents a particular focus on the acquisition and processing of data from real-world forensic cases; offers an holistic perspective, integrating work from different research institutions and combining viewpoints from both biometric technologies and forensic science.
Book Synopsis Social Network Forensics, Cyber Security, and Machine Learning by : P. Venkata Krishna
Download or read book Social Network Forensics, Cyber Security, and Machine Learning written by P. Venkata Krishna and published by Springer. This book was released on 2018-12-29 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.
Author :Giovanni Maria Farinella Publisher :Springer Science & Business Media ISBN 13 :1447155203 Total Pages :437 pages Book Rating :4.4/5 (471 download)
Book Synopsis Advanced Topics in Computer Vision by : Giovanni Maria Farinella
Download or read book Advanced Topics in Computer Vision written by Giovanni Maria Farinella and published by Springer Science & Business Media. This book was released on 2013-09-24 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
Book Synopsis Advances in Pattern Recognition by : Adnan Amin
Download or read book Advances in Pattern Recognition written by Adnan Amin and published by Springer Science & Business Media. This book was released on 1998-07-29 with total page 1084 pages. Available in PDF, EPUB and Kindle. Book excerpt: 9
Book Synopsis Handbook of Digital Face Manipulation and Detection by : Christian Rathgeb
Download or read book Handbook of Digital Face Manipulation and Detection written by Christian Rathgeb and published by Springer Nature. This book was released on 2022-01-31 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
Book Synopsis Chemometrics for Pattern Recognition by : Richard G. Brereton
Download or read book Chemometrics for Pattern Recognition written by Richard G. Brereton and published by John Wiley & Sons. This book was released on 2009-06-29 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.
Book Synopsis Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling by : Jahan B. Ghasemi
Download or read book Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling written by Jahan B. Ghasemi and published by Elsevier. This book was released on 2022-10-20 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines key knowledge in this area, combining critical introductory approaches with the latest advanced techniques. Beginning with an introduction of univariate and multivariate statistical analysis, the book then explores multivariate calibration and validation methods. Soft modeling in chemical data analysis, hyperspectral data analysis, and autoencoder applications in analytical chemistry are then discussed, providing useful examples of the techniques in chemistry applications. Drawing on the knowledge of a global team of researchers, this book will be a helpful guide for chemists interested in developing their skills in multivariate data and error analysis. Provides an introductory overview of statistical methods for the analysis and interpretation of chemical data Discusses the use of machine learning for recognizing patterns in multidimensional chemical data Identifies common sources of multivariate errors
Book Synopsis Deep Learning in Biometrics by : Mayank Vatsa
Download or read book Deep Learning in Biometrics written by Mayank Vatsa and published by CRC Press. This book was released on 2018-03-05 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.
Book Synopsis Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by : Rawat, Romil
Download or read book Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.
Book Synopsis Machine Learning Forensics for Law Enforcement, Security, and Intelligence by : Jesus Mena
Download or read book Machine Learning Forensics for Law Enforcement, Security, and Intelligence written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive
