Introductory Chapter Face Recognition Overview Dimensionality Reduction And Evaluation Methods

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Face Recognition

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
ISBN 13 : 9535124218
Total Pages : 104 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Face Recognition by : S. Ramakrishnan

Download or read book Face Recognition written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2016-07-06 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

Symmetry Measures on Complex Networks

Author : Angel Garrido
Publisher : MDPI
ISBN 13 : 3038424986
Total Pages : 509 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Symmetry Measures on Complex Networks by : Angel Garrido

Download or read book Symmetry Measures on Complex Networks written by Angel Garrido and published by MDPI. This book was released on 2018-07-09 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Symmetry Measures on Complex Networks" that was published in Symmetry

Machine Learning Techniques for Multimedia

Author : Matthieu Cord
Publisher : Springer Science & Business Media
ISBN 13 : 3540751718
Total Pages : 297 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Machine Learning Techniques for Multimedia by : Matthieu Cord

Download or read book Machine Learning Techniques for Multimedia written by Matthieu Cord and published by Springer Science & Business Media. This book was released on 2008-02-07 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.

Reviews, Refinements and New Ideas in Face Recognition

Author : Peter Corcoran
Publisher : BoD – Books on Demand
ISBN 13 : 9533073683
Total Pages : 342 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Reviews, Refinements and New Ideas in Face Recognition by : Peter Corcoran

Download or read book Reviews, Refinements and New Ideas in Face Recognition written by Peter Corcoran and published by BoD – Books on Demand. This book was released on 2011-07-27 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.

Image Processing and Capsule Networks

Author : Joy Iong-Zong Chen
Publisher : Springer Nature
ISBN 13 : 3030518590
Total Pages : 829 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Image Processing and Capsule Networks by : Joy Iong-Zong Chen

Download or read book Image Processing and Capsule Networks written by Joy Iong-Zong Chen and published by Springer Nature. This book was released on 2020-07-23 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.

Data Science and Its Applications

Author : Aakanksha Sharaff
Publisher : CRC Press
ISBN 13 : 1000414000
Total Pages : 443 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data Science and Its Applications by : Aakanksha Sharaff

Download or read book Data Science and Its Applications written by Aakanksha Sharaff and published by CRC Press. This book was released on 2021-08-18 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.

ICCCE 2021

Author : Amit Kumar
Publisher : Springer Nature
ISBN 13 : 9811679851
Total Pages : 1229 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis ICCCE 2021 by : Amit Kumar

Download or read book ICCCE 2021 written by Amit Kumar and published by Springer Nature. This book was released on 2022-05-15 with total page 1229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of research articles presented at the 4th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2021), held on April 9 and 10, 2021, at CMR Engineering College, Hyderabad, India. ICCCE is one of the most prestigious conferences conceptualized in the field of networking and communication technology offering in-depth information on the latest developments in voice, data, image, and multimedia. Discussing the latest developments in voice and data communication engineering, cyber-physical systems, network science, communication software, image, and multimedia processing research and applications, as well as communication technologies and other related technologies, it includes contributions from both academia and industry. This book is a valuable resource for scientists, research scholars, and PG students working to formulate their research ideas and find the future directions in these areas. Further, it may serve as a reference work to understand the latest engineering and technologies used by practicing engineers in the field of communication engineering.

Signal and Image Processing for Biometrics

Author : Jacob Scharcanski
Publisher : Springer Science & Business Media
ISBN 13 : 3642540805
Total Pages : 336 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Signal and Image Processing for Biometrics by : Jacob Scharcanski

Download or read book Signal and Image Processing for Biometrics written by Jacob Scharcanski and published by Springer Science & Business Media. This book was released on 2014-02-20 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.

Data Mining Tools for Malware Detection

Author : Mehedy Masud
Publisher : CRC Press
ISBN 13 : 1466516488
Total Pages : 453 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Data Mining Tools for Malware Detection by : Mehedy Masud

Download or read book Data Mining Tools for Malware Detection written by Mehedy Masud and published by CRC Press. This book was released on 2016-04-19 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d

Kernel Learning Algorithms for Face Recognition

Author : Jun-Bao Li
Publisher : Springer Science & Business Media
ISBN 13 : 1461401615
Total Pages : 232 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Kernel Learning Algorithms for Face Recognition by : Jun-Bao Li

Download or read book Kernel Learning Algorithms for Face Recognition written by Jun-Bao Li and published by Springer Science & Business Media. This book was released on 2013-09-07 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its newest applications.

Introduction to Multivariate Analysis

Author : Sadanori Konishi
Publisher : CRC Press
ISBN 13 : 1466567295
Total Pages : 338 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Introduction to Multivariate Analysis by : Sadanori Konishi

Download or read book Introduction to Multivariate Analysis written by Sadanori Konishi and published by CRC Press. This book was released on 2014-06-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Select the Optimal Model for Interpreting Multivariate DataIntroduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Along with the basic concepts of various procedu

Neural Information Processing

Author : Chu Kiong Loo
Publisher : Springer
ISBN 13 : 3319126431
Total Pages : 723 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Neural Information Processing by : Chu Kiong Loo

Download or read book Neural Information Processing written by Chu Kiong Loo and published by Springer. This book was released on 2014-10-21 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.

A Survey of Blur Detection and Sharpness Assessment Methods

Author : Juan Andrade
Publisher : Springer Nature
ISBN 13 : 3031015290
Total Pages : 95 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A Survey of Blur Detection and Sharpness Assessment Methods by : Juan Andrade

Download or read book A Survey of Blur Detection and Sharpness Assessment Methods written by Juan Andrade and published by Springer Nature. This book was released on 2022-06-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blurring is almost an omnipresent effect on natural images. The main causes of blurring in images include: (a) the existence of objects at different depths within the scene which is known as defocus blur; (b) blurring due to motion either of objects in the scene or the imaging device; and (c) blurring due to atmospheric turbulence. Automatic estimation of spatially varying sharpness/blurriness has several applications including depth estimation, image quality assessment, information retrieval, image restoration, among others. There are some cases in which blur is intentionally introduced or enhanced; for example, in artistic photography and cinematography in which blur is intentionally introduced to emphasize a certain image region. Bokeh is a technique that introduces defocus blur with aesthetic purposes. Additionally, in trending applications like augmented and virtual reality usually, blur is introduced in order to provide/enhance depth perception. Digital images and videos are produced every day in astonishing amounts and the demand for higher quality is constantly rising which creates a need for advanced image quality assessment. Additionally, image quality assessment is important for the performance of image processing algorithms. It has been determined that image noise and artifacts can affect the performance of algorithms such as face detection and recognition, image saliency detection, and video target tracking. Therefore, image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision. Since humans are the end consumers of multimedia signals, subjective quality metrics provide the most reliable results; however, their cost in addition to time requirements makes them unfeasible for practical applications. Thus, objective quality metrics are usually preferred.

Quantifying and Processing Biomedical and Behavioral Signals

Author : Anna Esposito
Publisher : Springer
ISBN 13 : 3319950959
Total Pages : 271 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Quantifying and Processing Biomedical and Behavioral Signals by : Anna Esposito

Download or read book Quantifying and Processing Biomedical and Behavioral Signals written by Anna Esposito and published by Springer. This book was released on 2018-08-17 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to identify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human–computer interaction (HCI) systems. This book is a valuable resource for a. the research community, PhD students, early stage researchers c. schools, hospitals, and rehabilitation and assisted-living centers e. the ICT market, and representatives from multimedia industries

An Introduction to Pattern Recognition and Machine Learning

Author : Paul Fieguth
Publisher : Springer Nature
ISBN 13 : 3030959953
Total Pages : 481 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis An Introduction to Pattern Recognition and Machine Learning by : Paul Fieguth

Download or read book An Introduction to Pattern Recognition and Machine Learning written by Paul Fieguth and published by Springer Nature. This book was released on 2022-11-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.

Intelligent Image and Video Interpretation: Algorithms and Applications

Author : Tian, Jing
Publisher : IGI Global
ISBN 13 : 1466639598
Total Pages : 277 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Intelligent Image and Video Interpretation: Algorithms and Applications by : Tian, Jing

Download or read book Intelligent Image and Video Interpretation: Algorithms and Applications written by Tian, Jing and published by IGI Global. This book was released on 2013-04-30 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video interpretations have become an area of growing interest. Intelligent Image and Video Interpretation: Algorithms and Applications covers all aspects of image and video analysis from low-level early visions to high-level recognition. This publication highlights how these techniques have become applicable and will prove to be a valuable tool for researchers, professionals, and graduate students working or studying the fields of imaging and video processing.

Neural Advances in Processing Nonlinear Dynamic Signals

Author : Anna Esposito
Publisher : Springer
ISBN 13 : 3319950983
Total Pages : 313 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Neural Advances in Processing Nonlinear Dynamic Signals by : Anna Esposito

Download or read book Neural Advances in Processing Nonlinear Dynamic Signals written by Anna Esposito and published by Springer. This book was released on 2018-07-21 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community. Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques. This book is a valuable resource for a. The academic research community b. The ICT market c. PhD students and early stage researchers d. Companies, research institutes e. Representatives from industry and standardization bodies