Pattern Recognition and Computational Intelligence Techniques Using MATLAB, Gopi E. S.

Автор: Vikas Garg; Rashmi Agrawal
Название: Transforming management using artificial intelligence techniques
ISBN: 0367456370 ISBN-13(EAN): 9780367456375
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to Artificial intelligence in a clear and concise manner.

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: 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: 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: Pedrycz
Название: Computational Intelligence for Pattern Recognition
ISBN: 3319896288 ISBN-13(EAN): 9783319896281
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
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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: Das Asit Kumar, Nayak Janmenjoy, Naik Bighnaraj
Название: Computational Intelligence in Pattern Recognition: Proceedings of Cipr 2019
ISBN: 981139041X ISBN-13(EAN): 9789811390418
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Автор: Das Asit Kumar, Nayak Janmenjoy, Naik Bighnaraj
Название: Computational Intelligence in Pattern Recognition: Proceedings of Cipr 2020
ISBN: 9811524483 ISBN-13(EAN): 9789811524486
Издательство: Springer
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Цена: 139750.00 T
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Описание: Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis.- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments.- Stratification of Indian Dance Forms through Audio Signal.- Forecasting House Price with an Optimum Set of Features.- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction.- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques.- A Proposed Gene Selection Approach for Disease Detection.- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks.- Raw Data Redundancy Elimination on Cloud Database.- Secured Cloud System Using Deep Learning.- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.

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
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: Danel Jaso
Название: Pattern Recognition Techniques, Technology & Applications
ISBN: 1681174642 ISBN-13(EAN): 9781681174648
Издательство: Gazelle Book Services
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Цена: 217350.00 T
Наличие на складе: Невозможна поставка.
Описание: This book highlights recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition. The book provides a comprehensive overview of the developments of techniques and approaches on pattern recognition. Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition task. Pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships. Stages in pattern recognition may involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and comparison with known patterns to determine a match or mismatch. Pattern recognition has extensive application in astronomy, medicine, robotics, and remote sensing by satellites.

Автор: Kwang-Cheng Chen
Название: Artificial Intelligence in Wireless Robotics
ISBN: 8770221189 ISBN-13(EAN): 9788770221184
Издательство: Taylor&Francis
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Цена: 99010.00 T
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Описание: Robots, autonomous vehicles, unmanned aerial vehicles, and smart factory, will significantly change human living style in digital society. Artificial Intelligence in Wireless Robotics introduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems.

The technical contents of this book include fundamental knowledge in robotics, cyber-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization, computer vision and multi-modal data fusion, robot planning, multi-agent systems, networked multi-agent systems, security and robustness of networked robots, and ultra-reliable and low-latency machine-to-machine networking. Examples and exercises are provided for easy and effective comprehension.

Engineers wishing to extend knowledge in the robotics, AI, and wireless communications, would be benefited from this book. In the meantime, the book is ready as a textbook for senior undergraduate students or first-year graduate students in electrical engineering, computer engineering, computer science, and general engineering students. The readers of this book shall have basic knowledge in undergraduate probability and linear algebra, and basic programming capability, in order to enjoy deep reading.

Автор: Pablo Duboue
Название: The Art of Feature Engineering: Essentials for Machine Learning
ISBN: 1108709389 ISBN-13(EAN): 9781108709385
Издательство: Cambridge Academ
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Цена: 46470.00 T
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Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.