Computational Intelligence in Pattern Recognition: Proceedings of Cipr 2020, Das Asit Kumar, Nayak Janmenjoy, Naik Bighnaraj
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Lu Yue, Vincent Nicole, Yuen Pong Chi Название: Pattern Recognition and Artificial Intelligence: International Conference, Icprai 2020, Zhongshan, China, October 19-23, 2020, Proceedings ISBN: 3030598292 ISBN-13(EAN): 9783030598297 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book.
Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition ISBN: 9812870555 ISBN-13(EAN): 9789812870551 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.
Автор: E. S. Gopi Название: Pattern Recognition and Computational Intelligence Techniques Using Matlab ISBN: 3030222721 ISBN-13(EAN): 9783030222727 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.Presents pattern recognition and the computational intelligence using Matlab;Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
Автор: Pedrycz Witold, Chen Shyi-Ming Название: Computational Intelligence for Pattern Recognition ISBN: 3030078191 ISBN-13(EAN): 9783030078195 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification.
Автор: Kristin J. Dana Название: Computational Texture and Patterns: From Textons to Deep Learning ISBN: 1681730111 ISBN-13(EAN): 9781681730110 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 51750.00 T Наличие на складе: Невозможна поставка. Описание: Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations. We enumerate specific desirable traits for these representations: (1) intraclass invariance—to support recognition; (2) illumination and geometric invariance for robustness to imaging conditions; (3) support for prediction and synthesis to use the model to infer continuation of the pattern; (4) support for change detection to detect anomalies and perturbations; and (5) support for physics-based interpretation to infer system properties from appearance. In recent years, computer vision has undergone a metamorphosis with classic algorithms adapting to new trends in deep learning. This text provides a tour of algorithm evolution including pattern recognition, segmentation and synthesis. We consider the general relevance and prominence of visual pattern analysis and applications that rely on computational models.
Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition ISBN: 9811011710 ISBN-13(EAN): 9789811011719 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.
Автор: Pedrycz Название: Computational Intelligence for Pattern Recognition ISBN: 3319896288 ISBN-13(EAN): 9783319896281 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification.
Автор: Nabendu Chaki; Agostino Cortesi; Nagaraju Devarako Название: Proceedings of International Conference on Computational Intelligence and Data Engineering ISBN: 9811063184 ISBN-13(EAN): 9789811063183 Издательство: Springer Рейтинг: Цена: 213360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- List of Reviewers.- Program Committee.- About the Editors.- Table of Contents.- 30 Chapters.- Author Index.
Автор: V. Vijayakumar; V. Neelanarayanan Название: Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16`) ISBN: 3319807862 ISBN-13(EAN): 9783319807867 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This proceedings volume contains selected papers that were presented in the 3rd International Symposium on Big data and Cloud Computing Challenges, 2016 held at VIT University, India on March 10 and 11.
Автор: Nabendu Chaki; Nagaraju Devarakonda; Anirban Sarka Название: Proceedings of International Conference on Computational Intelligence and Data Engineering ISBN: 9811364583 ISBN-13(EAN): 9789811364587 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2018). The conference was conceived as a forum for researchers from academia and industry to present and share ideas and results and allow them to develop a comprehensive understanding of the challenges of technological advancements from different viewpoints. As such, this book helps foster strong links between academia and industry. It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.
