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
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Цена: 79190.00 T
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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: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9811011710 ISBN-13(EAN): 9789811011719
Издательство: Springer
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Цена: 104480.00 T
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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: 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
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Цена: 213360.00 T
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Описание: Preface.- List of Reviewers.- Program Committee.- About the Editors.- Table of Contents.- 30 Chapters.- Author Index.

Автор: Figueroa Mora Karina Mariela, Anzurez Marнn Juan, Cerda Jaime
Название: Pattern Recognition: 12th Mexican Conference, McPr 2020, Morelia, Mexico, June 24-27, 2020, Proceedings
ISBN: 3030490750 ISBN-13(EAN): 9783030490751
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the proceedings of the 12th Mexican Conference on Pattern Recognition, MCPR 2020, which was due to be held in Morelia, Mexico, in June 2020. They were organized in the following topical sections: pattern recognition techniques; industrial and medical applications of pattern recognition;

Автор: Albena Dimitrova Mihovska, Roshani Raut
Название: Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications
ISBN: 1799875113 ISBN-13(EAN): 9781799875116
Издательство: Mare Nostrum (Eurospan)
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Цена: 260570.00 T
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Описание: Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings.

The Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers' points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

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
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Цена: 121110.00 T
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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: Pedrycz Witold, Chen Shyi-Ming
Название: Computational Intelligence for Pattern Recognition
ISBN: 3030078191 ISBN-13(EAN): 9783030078195
Издательство: Springer
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Цена: 139750.00 T
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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)
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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: 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
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Цена: 186330.00 T
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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.

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
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Цена: 121890.00 T
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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
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Цена: 107130.00 T
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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: 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
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Цена: 186330.00 T
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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.