Digital Image Processing with C++

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Publisher : CRC Press
ISBN 13 : 1000831426
Total Pages : 309 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Digital Image Processing with C++ by : David Tschumperle

Download or read book Digital Image Processing with C++ written by David Tschumperle and published by CRC Press. This book was released on 2023-03-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.

Deep Learning

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Publisher : John Wiley & Sons
ISBN 13 : 1119845017
Total Pages : 548 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Deep Learning by : Stephane S. Tuffery

Download or read book Deep Learning written by Stephane S. Tuffery and published by John Wiley & Sons. This book was released on 2023-01-10 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and practical exploration of key topics and applications in data science In Deep Learning, from Big Data to Artificial Intelligence, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning, from Big Data to Artificial Intelligence offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning, from Big Data to Artificial Intelligence will also earn a place in the libraries of data science researchers and practicing data scientists.

Introduction to Machine Learning

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Publisher : MIT Press
ISBN 13 : 0262028182
Total Pages : 639 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

French books in print, anglais

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Publisher :
ISBN 13 : 9782765407881
Total Pages : 1844 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis French books in print, anglais by : Electre

Download or read book French books in print, anglais written by Electre and published by . This book was released on 2000 with total page 1844 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149203259X
Total Pages : 851 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by : Aurélien Géron

Download or read book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Intelligent Tutoring Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540556060
Total Pages : 710 pages
Book Rating : 4.5/5 (56 download)

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Book Synopsis Intelligent Tutoring Systems by : Claude Frasson

Download or read book Intelligent Tutoring Systems written by Claude Frasson and published by Springer Science & Business Media. This book was released on 1992-05-27 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of the Encyclopaedia offers a systematic introduction and a comprehensive survey of the theory of complex spaces. It covers topics like semi-normal complex spaces, cohomology, the Levi problem, q-convexity and q-concavity. It is the first survey of this kind. The authors are internationally known outstanding experts who developed substantial parts of the field. The book contains seven chapters and an introduction written by Remmert, describing the history of the subject. The book will be very useful to graduate students and researchers in complex analysis, algebraic geometry and differential geometry. Another group of readers will consist of mathematical physicists who apply results from these fields.

Hybrid Neural Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540673059
Total Pages : 411 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Hybrid Neural Systems by : Stefan Wermter

Download or read book Hybrid Neural Systems written by Stefan Wermter and published by Springer Science & Business Media. This book was released on 2000-03-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

Neural Smithing

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Publisher : MIT Press
ISBN 13 : 0262527014
Total Pages : 359 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Neural Smithing by : Russell Reed

Download or read book Neural Smithing written by Russell Reed and published by MIT Press. This book was released on 1999-02-17 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.

Intelligent Tutoring Systems

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Author :
Publisher :
ISBN 13 :
Total Pages : 710 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Intelligent Tutoring Systems by :

Download or read book Intelligent Tutoring Systems written by and published by . This book was released on 1992 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Canadiana

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Publisher :
ISBN 13 :
Total Pages : 1182 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Canadiana by :

Download or read book Canadiana written by and published by . This book was released on 1991 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Philosophy manual: a South-South perspective

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Publisher : UNESCO Publishing
ISBN 13 : 9231010069
Total Pages : 236 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Philosophy manual: a South-South perspective by : Chanthalangsy, Phinith

Download or read book Philosophy manual: a South-South perspective written by Chanthalangsy, Phinith and published by UNESCO Publishing. This book was released on 2014-12-31 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Aiding Decisions with Multiple Criteria

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Publisher : Springer Science & Business Media
ISBN 13 : 1461508436
Total Pages : 551 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Aiding Decisions with Multiple Criteria by : Denis Bouyssou

Download or read book Aiding Decisions with Multiple Criteria written by Denis Bouyssou and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aiding Decisions With Multiple Criteria: Essays in Honor of Bernard Roy is organized around two broad themes: Graph Theory with path-breaking contributions on the theory of flows in networks and project scheduling, Multiple Criteria Decision Aiding with the invention of the family of ELECTRE methods and methodological contribution to decision-aiding which lead to the creation of Multi-Criteria Decision Analysis (MCDA). Professor Bernard Roy has had considerable influence on the development of these two broad areas. £/LIST£ Part one contains papers by Jacques Lesourne, and Dominique de Werra & Pierre Hansen related to the early career of Bernard Roy when he developed many new techniques and concepts in Graph Theory in order to cope with complex real-world problems. Part two of the book is devoted to Philosophy and Epistemology of Decision-Aiding with contributions from Valerie Belton & Jacques Pictet and Jean-Luis Genard & Marc Pirlot. Part three includes contributions based on Theory and Methodology of Multi-Criteria Decision-Aiding based on a general framework for conjoint measurement that allows intrasitive preferences. Denis Bouyssou & Marc Pirlot; Alexis Tsoukiàs, Patrice Perny & Philippe Vincke; Luis Dias & João Clímaco; Daniel Vanderpooten; Michael Doumpos & Constantin Zopounidis; and Marc Roubens offer a considerable range of examinations of this aspect of MCDA. Part four is devoted to Perference Modeling with contributions from Peter Fishburn; Salvatore Greco, Benedetto Matarazzo & Roman Slowinski; Salem Benferhat, Didier Dubois & Henri Prade; Oscar Franzese & Mark McCord; Bertrand Munier; and Raymond Bisdorff. Part five groups Applications of Multi-Criteria Decision-Aiding, and Carlos Henggeler Antunes, Carla Oliveira & João Clímaco; Carlos Bana e Costa, Manuel da Costa-Lobo, Isabel Ramos & Jean-Claude Vansnick; Yannis Siskos & Evangelos Grigoroudis; Jean-Pierre Brans, Pierre Kunsch & Bertrand Mareschal offer a wide variety of application problems. Finally, Part six includes contributions on Multi-Objective Mathematical Programming from Jacques Teghem, Walter Habenicht and Pekka Korhonen.

Shaping the Future of ICT

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Publisher : CRC Press
ISBN 13 : 1498781195
Total Pages : 521 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Shaping the Future of ICT by : Ibrahiem M. M. El Emary

Download or read book Shaping the Future of ICT written by Ibrahiem M. M. El Emary and published by CRC Press. This book was released on 2017-09-19 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Communications, Management, and Information Technology (ICCMIT’16) provides a discussion forum for scientists, engineers, educators and students about the latest discoveries and realizations in the foundations, theory, models and applications of systems inspired on nature, using computational intelligence methodologies, as well as in emerging areas related to the three tracks of the conference: Communication Engineering, Knowledge, and Information Technology. The best 25 papers to be included in the book will be carefully reviewed and selected from numerous submissions, then revised and expanded to provide deeper insight into trends shaping future ICT.

Predicting Structured Data

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Publisher : MIT Press
ISBN 13 : 0262026171
Total Pages : 361 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Predicting Structured Data by : Neural Information Processing Systems Foundation

Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Apprentissage artificiel - 3e édition

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Publisher : Editions Eyrolles
ISBN 13 : 2212309236
Total Pages : 914 pages
Book Rating : 4.2/5 (123 download)

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Book Synopsis Apprentissage artificiel - 3e édition by : Vincent Barra

Download or read book Apprentissage artificiel - 3e édition written by Vincent Barra and published by Editions Eyrolles. This book was released on 2018-05-17 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: Résumé Les programmes d'intelligence artificielle sont aujourd'hui capables de reconnaître des commandes vocales, d'analyser automatiquement des photos satellites, d'assister des experts pour prendre des décisions dans des environnements complexes et évolutifs (analyse de marchés financiers, diagnostics médicaux...), de fouiller d'immenses bases de données hétérogènes, telles les innombrables pages du Web... Pour réaliser ces tâches, ils sont dotés de modules d'apprentissage leur permettant d'adapter leur comportement à des situations jamais rencontrées, ou d'extraire des lois à partir de bases de données d'exemples. Ce livre présente les concepts qui sous-tendent l'apprentissage artificiel, les algorithmes qui en découlent et certaines de leurs applications. Son objectif est de décrire un ensemble d'algorithmes utiles en tentant d'établir un cadre théorique pour l'ensemble des techniques regroupées sous ce terme "d'apprentissage artificiel". La troisième édition de ce livre a été complètement réorganisée pour s'adapter aux évolutions très significatives de l'apprentissage artificiel ces dernières années. Une large place y est accordée aux techniques d'apprentissage profond et à de nouvelles applications, incluant le traitement de flux de données. À qui s'adresse ce livre ? Ce livre s'adresse tant aux décideurs et aux ingénieurs qui souhaitent mettre au point des applications qu'aux étudiants de niveau Master 1 et 2 et en école d'ingénieurs, qui souhaitent un ouvrage de référence sur ce domaine clé de l'intelligence artificielle.

bookdown

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Publisher : CRC Press
ISBN 13 : 1351792601
Total Pages : 140 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis bookdown by : Yihui Xie

Download or read book bookdown written by Yihui Xie and published by CRC Press. This book was released on 2016-12-12 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.

Artificial Intelligence in Engineering

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Publisher :
ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Artificial Intelligence in Engineering by : D. Sriram

Download or read book Artificial Intelligence in Engineering written by D. Sriram and published by . This book was released on 1987 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: