Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Deep Learning for Multimedia Processing Applications: Volume Two: Signal Processing and Pattern Recognition, Bhatti, Uzair Aslam ; Mengxing, Huang ; Li, Jingbi


Варианты приобретения
Цена: 16843.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-08-18
Ориентировочная дата поставки: конец Сентября - начало Октября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Bhatti, Uzair Aslam ; Mengxing, Huang ; Li, Jingbi
Название:  Deep Learning for Multimedia Processing Applications: Volume Two: Signal Processing and Pattern Recognition
ISBN: 9781032623344
Издательство: Taylor&Francis
Классификация:










ISBN-10: 1032623349
Обложка/Формат: Hardcover
Страницы: 454
Вес: 1.05 кг.
Дата издания: 02/21/2024
Иллюстрации: 30 tables, black and white; 37 line drawings, color; 8 line drawings, black and white; 53 halftones, color; 6 halftones, black and white; 90 illustrations, color; 14 illustrations, black and white
Размер: 254 x 178
Основная тема: Computers | Data Science | Neural Networks ; Computers | Interactive & Multimedia ; Computers | Computer Science ; Computers | Image Processing
Подзаголовок: Volume two: signal processing and pattern recognition
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз


Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
Рейтинг:
Цена: 7918.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Mathematics for Machine Learning

Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Название: Mathematics for Machine Learning
ISBN: 110845514X ISBN-13(EAN): 9781108455145
Издательство: Cambridge Academ
Рейтинг:
Цена: 6334.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

Artificial Intelligence for Signal Processing and Wireless Communication

Автор: Abhinav Sharma et al.
Название: Artificial Intelligence for Signal Processing and Wireless Communication
ISBN: 3110738821 ISBN-13(EAN): 9783110738827
Издательство: Walter de Gruyter
Рейтинг:
Цена: 26024.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.

Image and Signal Processing

Автор: Abderrahim Elmoataz; Olivier Lezoray; Fathallah No
Название: Image and Signal Processing
ISBN: 3319079972 ISBN-13(EAN): 9783319079974
Издательство: Springer
Рейтинг:
Цена: 11180.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The contributions are organized in topical sections on multispectral colour science, color imaging and applications, digital cultural heritage, document image analysis, graph-based representations, image filtering and representation, computer vision and pattern recognition, computer graphics, biomedical, and signal processing.

Cambridge Series in Statistical and Probabilistic Mathematic

Автор: Wainwright Martin J
Название: Cambridge Series in Statistical and Probabilistic Mathematic
ISBN: 1108498027 ISBN-13(EAN): 9781108498029
Издательство: Cambridge Academ
Рейтинг:
Цена: 10771.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial settings ranging from Amazon to Uber. This graduate text equips readers in statistics, machine learning, and related fields to understand, apply, and adapt modern methods suited to large-scale data.

Hyperspectral Image Analysis

Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название: Hyperspectral Image Analysis
ISBN: 3030386163 ISBN-13(EAN): 9783030386160
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding.

High-dimensional data analysis with low-dimensional models

Автор: Wright, John (columbia University, New York) Ma, Yi (university Of California, Berkeley)
Название: High-dimensional data analysis with low-dimensional models
ISBN: 1108489737 ISBN-13(EAN): 9781108489737
Издательство: Cambridge Academ
Рейтинг:
Цена: 9502.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students in computer science, data science, and electrical engineering. With foreword by Emmanuel Candes.

Image and Signal Processing: 9th International Conference, Icisp 2020, Marrakesh, Morocco, June 4-6, 2020, Proceedings

Автор: El Moataz Abderrahim, Mammass Driss, Mansouri Alamin
Название: Image and Signal Processing: 9th International Conference, Icisp 2020, Marrakesh, Morocco, June 4-6, 2020, Proceedings
ISBN: 3030519341 ISBN-13(EAN): 9783030519346
Издательство: Springer
Рейтинг:
Цена: 9222.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. The contributions presented in this volume were organized in the following topical sections: digital cultural heritage & color and spectral imaging;

Inference and Learning from Data: Volume 3: Learning

Автор: Ali H. Sayed
Название: Inference and Learning from Data: Volume 3: Learning
ISBN: 100921828X ISBN-13(EAN): 9781009218283
Издательство: Cambridge Academ
Рейтинг:
Цена: 12355.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to learning methods. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning and engineering.

Inference and Learning from Data: Volume 2: Inference

Автор: Ali H. Sayed
Название: Inference and Learning from Data: Volume 2: Inference
ISBN: 1009218263 ISBN-13(EAN): 9781009218269
Издательство: Cambridge Academ
Рейтинг:
Цена: 12355.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to techniques for inferring unknown variables and quantities. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning and engineering.

Inference and Learning from Data: Volume 1: Foundations

Автор: Ali H. Sayed
Название: Inference and Learning from Data: Volume 1: Foundations
ISBN: 1009218123 ISBN-13(EAN): 9781009218122
Издательство: Cambridge Academ
Рейтинг:
Цена: 13939.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to core topics in inference and learning. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning, and engineering.

Machine Learning for Engineers

Автор: Osvaldo Simeone
Название: Machine Learning for Engineers
ISBN: 1316512827 ISBN-13(EAN): 9781316512821
Издательство: Cambridge Academ
Рейтинг:
Цена: 9029.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-world engineering problems. With reproducible examples using Matlab, and lecture slides and solutions for instructors, this is the ideal introduction for engineering students of all disciplines.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия