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Books > Computing & IT > Applications of computing > Pattern recognition

Centrality and Diversity in Search - Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (Paperback, 1st... Centrality and Diversity in Search - Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (Paperback, 1st ed. 2019)
M.N. Murty, Anirban Biswas
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification. The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.

Smart Assisted Living - Toward An Open Smart-Home Infrastructure (Hardcover, 1st ed. 2020): Feng Chen, Rebeca I.... Smart Assisted Living - Toward An Open Smart-Home Infrastructure (Hardcover, 1st ed. 2020)
Feng Chen, Rebeca I. Garcia-Betances, Liming Chen, Maria Fernanda Cabrera-Umpierrez, Chris Nugent
R3,681 Discovery Miles 36 810 Ships in 10 - 15 working days

Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure. This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems. This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers, educators and students, helping them adopt and implement smart assisted living systems.

Advanced Deep Learning with Python - Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch... Advanced Deep Learning with Python - Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch (Paperback)
Ivan Vasilev
R1,320 Discovery Miles 13 200 Ships in 10 - 15 working days

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key Features Get to grips with building faster and more robust deep learning architectures Investigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorch Apply deep neural networks (DNNs) to computer vision problems, NLP, and GANs Book DescriptionIn order to build robust deep learning systems, you'll need to understand everything from how neural networks work to training CNN models. In this book, you'll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You'll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you'll focus on variational autoencoders and GANs. You'll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You'll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you'll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you'll understand how to apply deep learning to autonomous vehicles. By the end of this book, you'll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learn Cover advanced and state-of-the-art neural network architectures Understand the theory and math behind neural networks Train DNNs and apply them to modern deep learning problems Use CNNs for object detection and image segmentation Implement generative adversarial networks (GANs) and variational autoencoders to generate new images Solve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence models Understand DL techniques, such as meta-learning and graph neural networks Who this book is forThis book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.

Interval-Valued Intuitionistic Fuzzy Sets (Hardcover, 1st ed. 2020): Krassimir T. Atanassov Interval-Valued Intuitionistic Fuzzy Sets (Hardcover, 1st ed. 2020)
Krassimir T. Atanassov
R3,639 Discovery Miles 36 390 Ships in 10 - 15 working days

The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. A few interesting case studies, such as in the area of data mining, decision making and pattern recognition, among others, are discussed in detail. The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.

Sampling Techniques for Supervised or Unsupervised Tasks (Hardcover, 1st ed. 2020): Frederic Ros, Serge Guillaume Sampling Techniques for Supervised or Unsupervised Tasks (Hardcover, 1st ed. 2020)
Frederic Ros, Serge Guillaume
R3,399 Discovery Miles 33 990 Ships in 10 - 15 working days

This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the "curse of dimensionality", their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks; Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality; Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. "This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge." M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas "In science the difficulty is not to have ideas, but it is to make them work" From Carlo Rovelli

OpenCV 4 with Python Blueprints - Build creative computer vision projects with the latest version of OpenCV 4 and Python 3, 2nd... OpenCV 4 with Python Blueprints - Build creative computer vision projects with the latest version of OpenCV 4 and Python 3, 2nd Edition (Paperback, 2nd Revised edition)
Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler
R1,276 Discovery Miles 12 760 Ships in 10 - 15 working days

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key Features Understand how to capture high-quality image data, detect and track objects, and process the actions of animals or humans Implement your learning in different areas of computer vision Explore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented reality Book DescriptionOpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You'll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you'll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you'll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you'll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learn Generate real-time visual effects using filters and image manipulation techniques such as dodging and burning Recognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Learn feature extraction and feature matching to track arbitrary objects of interest Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons Classify, localize, and detect objects with deep neural networks Who this book is forThis book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.

Supervised Learning with Quantum Computers (Hardcover, 1st ed. 2018): Maria Schuld, Francesco Petruccione Supervised Learning with Quantum Computers (Hardcover, 1st ed. 2018)
Maria Schuld, Francesco Petruccione
R5,157 Discovery Miles 51 570 Ships in 10 - 15 working days

Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.

Pattern Recognition Applications in Engineering (Paperback): Diego Alexander Tibaduiza Burgos, Maribel Anaya Vejar, Francesc... Pattern Recognition Applications in Engineering (Paperback)
Diego Alexander Tibaduiza Burgos, Maribel Anaya Vejar, Francesc Pozo
R5,111 Discovery Miles 51 110 Ships in 10 - 15 working days

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

Technology Enhanced Assessment - 21st International Conference, TEA 2018, Amsterdam, The Netherlands, December 10-11, 2018,... Technology Enhanced Assessment - 21st International Conference, TEA 2018, Amsterdam, The Netherlands, December 10-11, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Silvester Draaijer, Desiree Joosten-Ten Brinke, Eric Ras
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

This book constitutes the proceedings of the 21st International Conference on Technology Enhanced Assessment, TEA 2018, held in Amsterdam, The Netherlands, in December 2018. The 14 papers presented were carefully selected from 34 submissions. They are centered around topics like e-learning, computer-assisted instruction, interactive learning environments, collaborative learning, computing education, student assessment.

Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India,... Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India, December 21-22, 2018, Revised Selected Papers, Part II (Paperback, 1st ed. 2019)
K. C. Santosh, Ravindra S Hegadi
R2,721 Discovery Miles 27 210 Ships in 10 - 15 working days

This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018.The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India,... Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India, December 21-22, 2018, Revised Selected Papers, Part I (Paperback, 1st ed. 2019)
K. C. Santosh, Ravindra S Hegadi
R3,027 Discovery Miles 30 270 Ships in 10 - 15 working days

This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018.The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Learning OpenCV 4 Computer Vision with Python 3 - Get to grips with tools, techniques, and algorithms for computer vision and... Learning OpenCV 4 Computer Vision with Python 3 - Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition (Paperback, 3rd Revised edition)
Joseph Howse, Joe Minichino
R1,309 Discovery Miles 13 090 Ships in 10 - 15 working days

Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code Key Features Build powerful computer vision applications in concise code with OpenCV 4 and Python 3 Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking Train, use, and understand machine learning models such as Support Vector Machines (SVMs) and neural networks Book DescriptionComputer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You'll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you'll have opportunities for hands-on activities. Next, you'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you'll develop your skills in 3D tracking and augmented reality. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you'll have the skills you need to execute real-world computer vision projects. What you will learn Install and familiarize yourself with OpenCV 4's Python 3 bindings Understand image processing and video analysis basics Use a depth camera to distinguish foreground and background regions Detect and identify objects, and track their motion in videos Train and use your own models to match images and classify objects Detect and recognize faces, and classify their gender and age Build an augmented reality application to track an image in 3D Work with machine learning models, including SVMs, artificial neural networks (ANNs), and deep neural networks (DNNs) Who this book is forIf you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you. This OpenCV book will also be useful for anyone getting started with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. Although no prior knowledge of image processing, computer vision or machine learning is required, familiarity with basic Python programming is a must.

Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India,... Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India, December 21-22, 2018, Revised Selected Papers, Part III (Paperback, 1st ed. 2019)
K. C. Santosh, Ravindra S Hegadi
R3,034 Discovery Miles 30 340 Ships in 10 - 15 working days

This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018.The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Reproducible Research in Pattern Recognition - Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018,... Reproducible Research in Pattern Recognition - Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018, in Beijing, China in August 2018. The 8 revised full papers, presented together 6 short papers, were carefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and Mathematical Morphology. The first track 1 on RR Framework was dedicated to the general topics of Reproducible Research in Computer Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.

Document Analysis and Recognition - 4th Workshop, DAR 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December... Document Analysis and Recognition - 4th Workshop, DAR 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Suresh Sundaram, Gaurav Harit
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

1. This book constitutes the refereed proceedings of the 4th Workshop on Document Analysis and Recognition, DAR 2018, held in Conjunction with ICVGIP 2018, in Hyderabad, India, in December 2018. The 12 revised full papers and 2 short papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections: document layout analysis and understanding; handwriting recognition and symbol spotting; character and word segmentation; handwriting analysis; datasets and performance evaluation.

The Singularity - Building a Better Future (Paperback): Nishanth Mudkey The Singularity - Building a Better Future (Paperback)
Nishanth Mudkey
R1,218 R956 Discovery Miles 9 560 Save R262 (22%) Ships in 10 - 15 working days
Type-2 Fuzzy Logic and Systems - Dedicated to Professor Jerry Mendel for his Pioneering Contribution (Paperback, Softcover... Type-2 Fuzzy Logic and Systems - Dedicated to Professor Jerry Mendel for his Pioneering Contribution (Paperback, Softcover reprint of the original 1st ed. 2018)
Robert John, Hani Hagras, Oscar Castillo
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book is intended as a reference guide for the type-2 fuzzy logic community, yet it aims also at other communities dealing with similar methods and applications.

Web Microanalysis of Big Image Data (Paperback, Softcover reprint of the original 1st ed. 2018): Peter Bajcsy, Joe Chalfoun,... Web Microanalysis of Big Image Data (Paperback, Softcover reprint of the original 1st ed. 2018)
Peter Bajcsy, Joe Chalfoun, Mylene Simon
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to demonstrate how information processing of repetitive, laborious and tedious analysis can be automated with a user-friendly system. Interactions of web system components and their impact on computational scalability, provenance information gathering, interactive display, and computing are explained in a top-down presentation of technical details. Web Microanalysis of Big Image Data includes descriptions of WIPP functionalities, use cases, and components of the web software system (web server and client architecture, algorithms, and hardware-software dependencies). The book comes with test image collections and a web software system to increase the reader's understanding and to provide practical tools for conducting big image experiments. By providing educational materials and software tools at the intersection of microscopy image analyses and computational science, graduate students, postdoctoral students, and scientists will benefit from the practical experiences, as well as theoretical insights. Furthermore, the book provides software and test data, empowering students and scientists with tools to make discoveries with higher statistical significance. Once they become familiar with the web image processing components, they can extend and re-purpose the existing software to new types of analyses. Each chapter follows a top-down presentation, starting with a short introduction and a classification of related methods. Next, a description of the specific method used in accompanying software is presented. For several topics, examples of how the specific method is applied to a dataset (parameters, RAM requirements, CPU efficiency) are shown. Some tips are provided as practical suggestions to improve accuracy or computational performance.

Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected... Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part VI (Paperback, 1st ed. 2019)
C. V. Jawahar, Hong-Dong Li, Greg Mori, Konrad Schindler
R1,667 Discovery Miles 16 670 Ships in 10 - 15 working days

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.

Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected... Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part V (Paperback, 1st ed. 2019)
C. V. Jawahar, Hong-Dong Li, Greg Mori, Konrad Schindler
R3,026 Discovery Miles 30 260 Ships in 10 - 15 working days

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.

Pattern Recognition - 11th Mexican Conference, MCPR 2019, Queretaro, Mexico, June 26-29, 2019, Proceedings (Paperback, 1st ed.... Pattern Recognition - 11th Mexican Conference, MCPR 2019, Queretaro, Mexico, June 26-29, 2019, Proceedings (Paperback, 1st ed. 2019)
Jesus Ariel Carrasco Ochoa, Jose Francisco Martinez-Trinidad, Jose Arturo Olvera Lopez, Joaquin Salas
R1,571 Discovery Miles 15 710 Ships in 10 - 15 working days

This book constitutes the proceedings of the 11th Mexican Conference on Pattern Recognition, MCPR 2019, held in Queretaro, Mexico, in June 2019. The 40 papers presented in this volume were carefully reviewed and selected from 86 submissions. They were organized in topical sections named: artificial intelligence techniques and recognition; computer vision; industrial and medical applications of pattern recognition; image processing and analysis; pattern recognition techniques; signal processing and analysis; natural language, and processing and recognition.

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference,... Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference, CompIMAGE 2018, Cracow, Poland, July 2-5, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Reneta P. Barneva, Valentin E. Brimkov, Piotr Kulczycki, Joao Manuel R.S. Tavares
R1,520 Discovery Miles 15 200 Ships in 10 - 15 working days

This book constitutes the refereed post-conference proceedings of the 6th International Symposium on Computational Modeling of Objects Presented in Images, CompIMAGE 2018, held in Cracow, Poland, inJuly 2018.The 16 revised full papers presented in this book were carefully reviewed and selected from 30 submissions. The papers cover the following topics: digital geometry; digital tomography; and methods and applications.

Human Centric Visual Analysis with Deep Learning (Hardcover, 1st ed. 2020): Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo Human Centric Visual Analysis with Deep Learning (Hardcover, 1st ed. 2020)
Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo
R4,128 Discovery Miles 41 280 Ships in 10 - 15 working days

This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions. Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding. This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.

Progress in Computer Recognition Systems (Paperback, 1st ed. 2019): Robert Burduk, Marek Kurzynski, Michal Wozniak Progress in Computer Recognition Systems (Paperback, 1st ed. 2019)
Robert Burduk, Marek Kurzynski, Michal Wozniak
R4,404 Discovery Miles 44 040 Ships in 10 - 15 working days

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics.

Multimedia Tools and Applications for Environmental & Biodiversity Informatics (Paperback, Softcover reprint of the original... Multimedia Tools and Applications for Environmental & Biodiversity Informatics (Paperback, Softcover reprint of the original 1st ed. 2018)
Alexis Joly, Stefanos Vrochidis, Kostas Karatzas, Ari Karppinen, Pierre Bonnet
R2,886 Discovery Miles 28 860 Ships in 10 - 15 working days

This edited volume focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth biodiversity. The data reflects the status, behavior, change as well as human interests and concerns which are increasingly crucial for understanding environmental issues and phenomena. This volume addresses the need for the development of advanced methods, techniques and tools for collecting, managing, analyzing, understanding and modeling environmental & biodiversity data, including the automated or collaborative species identification, the species distribution modeling and their environment, such as the air quality or the bio-acoustic monitoring. Researchers and practitioners in multimedia and environmental topics will find the chapters essential to their continued studies.

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