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A Concise Introduction to Image Processing using C++, Wang, Meiqing


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Цена: 102080.00T
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Автор: Wang, Meiqing
Название:  A Concise Introduction to Image Processing using C++
ISBN: 9781584888970
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1584888970
Обложка/Формат: Hardback
Страницы: 268
Вес: 0.55 кг.
Дата издания: 20.11.2008
Серия: Chapman & hall/crc numerical analysis and scientific computing series
Язык: English
Иллюстрации: 70 illustrations, black and white
Размер: 245 x 162 x 17
Читательская аудитория: Undergraduate
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Поставляется из: Европейский союз

Introduction to Functional Programming Systems Using Haskell

Автор: Davie
Название: Introduction to Functional Programming Systems Using Haskell
ISBN: 0521277248 ISBN-13(EAN): 9780521277242
Издательство: Cambridge Academ
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Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to functional programming and its associated systems. A unique feature is its use of the language Haskell for teaching both the rudiments and the finer points of the functional technique. It serves as an introduction both to functional programming and Haskell. Especially valuable are the chapters on programming and implementation, along with a large number of exercises.

Introduction to Computational Economics Using Fortran

Автор: Fehr Hans
Название: Introduction to Computational Economics Using Fortran
ISBN: 0198850379 ISBN-13(EAN): 9780198850373
Издательство: Oxford Academ
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Цена: 46980.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This exercise and solutions manual accompanies the main edition of Introduction to Computational Economics Using Fortran. It enables students of all levels to practice the skills and knowledge needed to conduct economic research using Fortran.

Python and Matplotlib Essentials for Scientists and Engineers

Автор: Matt A. Wood
Название: Python and Matplotlib Essentials for Scientists and Engineers
ISBN: 1681749106 ISBN-13(EAN): 9781681749105
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Автор: Vaidya Bhaumik
Название: Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
ISBN: 1789348293 ISBN-13(EAN): 9781789348293
Издательство: Неизвестно
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Цена: 67430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a guide to explore how accelerating of computer vision applications using GPUs will help you develop algorithms that work on complex image data in real time. It will solve the problems you face while deploying these algorithms on embedded platforms with the help of development boards from NVIDIA such as the Jetson TX1, Jetson TX2, ...

Practical machine learning and image processing

Автор: Singh, Himanshu
Название: Practical machine learning and image processing
ISBN: 1484241487 ISBN-13(EAN): 9781484241486
Издательство: Springer
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Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing.
The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools.
All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
What You Will Learn
Discover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projects
Who This Book Is For
Data scientists and software developers interested in image processing and computer vision.

Guide to Java

Автор: Streib
Название: Guide to Java
ISBN: 3031228413 ISBN-13(EAN): 9783031228414
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This textbook presents a focused and accessible primer on the fundamentals of Java programming, with extensive use of illustrative examples and hands-on exercises. Addressing the need to acquire a good working model of objects in order to avoid possible misconceptions, the text introduces the core concepts of object-oriented programming at any stage, supported by the use of contour diagrams. Each chapter has one or more complete programs to illustrate the various ideas presented, and to help readers learn how to write programs on their own. Chapter summaries and practical exercises also are included to help the reader to review their progress and practice their skills. This substantially updated second edition has been expanded with additional exercises, and includes new material on bit manipulation and parallel processing. Topics and features: * Introduces computing concepts in Chapter 0 for new programmers * Adds new chapters on bit-manipulation and parallel processing * Contains exercises at the end of each chapter with selected answers * Supports both text-based and GUI-based Input/Output * Objects can be introduced first, last, or intermixed with other material * Uses contour diagrams to illustrate objects and recursion * Discusses OOP concepts such as overloading, class methods, and inheritance * Introduces string variables and illustrates arrays and array processing * Discusses files, elementary exception processing, and the basics of Javadoc This concise and easy-to-follow textbook/guide is ideal for students in an introductory programming course. It is also suitable as a self-study guide for both practitioners and academics.

An Introduction to Language Processing with Perl and Prolog

Автор: Pierre M. Nugues
Название: An Introduction to Language Processing with Perl and Prolog
ISBN: 3642064051 ISBN-13(EAN): 9783642064050
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book teaches the principles of natural language processing and covers linguistics issues. A key feature of the book is the author`s hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog.

Автор: Publishing Nexcod
Название: Machine Learning Python: Beginner`s Guide to Machine Learning with Python. introduction to Machine Learning using python.
ISBN: 1078103453 ISBN-13(EAN): 9781078103459
Издательство: Неизвестно
Цена: 13790.00 T
Наличие на складе: Невозможна поставка.
Описание: Python Machine learning

Python is a general-purpose high level programming language that is being increasingly used in data science and in designing machine learning algorithms. This book provides a quick introduction to Python and its libraries like numpy, scipy, pandas, matplotlib and explains how it can be applied to develop machine learning algorithms that solve real world problems. This book starts with an introduction to machine learning with Python language and shows you how to setup Python and its packages. It further covers all important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation.


This tutorial also provides various projects that teaches you the techniques and functionalities such as news topic classification, spam email detection, online ad click-through prediction, stock prices forecast and other several important machine learning algorithms.


This tutorial has been prepared for professionals aspiring to learn machine learning with python and develop applications involving machine learning techniques such as recommendation, classification, and clustering. Through this tutorial, you will learn to solve data-driven problems and implement your solutions using the powerful yet simple programming language, Python and its packages. After completing this tutorial, you will gain a broad picture of the machine learning environment and the best practices and techniques for machine learning algorithms in python .



Machine Learning for OpenCV 4- Second Edition

Автор: Sharma Aditya, Shrimali Vishwesh Ravi, Beyeler Michael
Название: Machine Learning for OpenCV 4- Second Edition
ISBN: 1789536308 ISBN-13(EAN): 9781789536300
Издательство: Неизвестно
Рейтинг:
Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine Learning for OpenCV 4, Second Edition will help the readers to implement and train machine learning algorithms with OpenCV 4 and scikit-learn in Python. By the end of this book, you will be able to build intelligent applications with OpenCV 4 using various optimization techniques for your machine learning algorithms.

Introduction to Image Processing Using R

Автор: Frery Alejandro C
Название: Introduction to Image Processing Using R
ISBN: 1447149491 ISBN-13(EAN): 9781447149491
Издательство: Springer
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Цена: 37260.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. Those who are new to the field of image processing and to R software will find this work a useful introduction.

Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Автор: Kulkarni, Shrirang Ambaji , Gurupur, Varadrah P.
Название: Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
ISBN: 036749373X ISBN-13(EAN): 9780367493738
Издательство: Taylor&Francis
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Цена: 47970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for users without any prior programming knowledge.

Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Автор: Kulkarni, Shrirang Ambaji , Gurupur, Varadrah P.
Название: Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
ISBN: 1138543527 ISBN-13(EAN): 9781138543522
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for users without any prior programming knowledge.


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