Subspace Methods For Pattern Recognition In Intelligent Environment
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Subspace Methods For Pattern Recognition In Intelligent Environment
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Author : Yen-Wei Chen
language : en
Publisher:
Release Date : 2014-04-30
Subspace Methods For Pattern Recognition In Intelligent Environment written by Yen-Wei Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-30 with categories.
Subspace Methods For Pattern Recognition In Intelligent Environment
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Author : Yen-Wei Chen
language : en
Publisher: Springer
Release Date : 2014-04-07
Subspace Methods For Pattern Recognition In Intelligent Environment written by Yen-Wei Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-07 with Technology & Engineering categories.
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.
Subspace Methods Of Pattern Recognition
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Author : Erkki Oja
language : en
Publisher: John Wiley & Sons
Release Date : 1983
Subspace Methods Of Pattern Recognition written by Erkki Oja and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Psychology categories.
Discusses the fundamentals of subspace methods & the different approaches taken; concentrates on the learning subspace method used for automatic speech recognition & more generally for the classification of spectra.
Intelligent Computing Image Processing Based Applications
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Author : J. K. Mandal
language : en
Publisher: Springer Nature
Release Date : 2020-06-08
Intelligent Computing Image Processing Based Applications written by J. K. Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Technology & Engineering categories.
This book features a collection of extended versions of papers presented at OPTRONIX 2019, held at the University of Engineering & Management, Kolkata, India, on 18 – 20, March 2019. It includes research on the detection of skin disease, breast tumors, lung cancer and rotten fruit based on intelligent image processing applications, intelligent computing, neuro-fuzzy applications, soil moisture prediction, intelligent encryption and authentication, as well as image analysis and image analytics.
Computer Analysis Of Images And Patterns
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Author : Mario Vento
language : en
Publisher: Springer Nature
Release Date : 2019-08-23
Computer Analysis Of Images And Patterns written by Mario Vento and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-23 with Computers categories.
The two volume set LNCS 11678 and 11679 constitutes the refereed proceedings of the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019. The 106 papers presented were carefully reviewed and selected from 176 submissions The papers are organized in the following topical sections: Intelligent Systems; Real-time and GPU Processing; Image Segmentation; Image and Texture Analysis; Machine Learning for Image and Pattern Analysis; Data Sets and Benchmarks; Structural and Computational Pattern Recognition; Posters.
Neural Information Processing
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Author : Long Cheng
language : en
Publisher: Springer
Release Date : 2018-12-03
Neural Information Processing written by Long Cheng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-03 with Computers categories.
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.
Advances In Pattern Recognition And Artificial Intelligence
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Author : Marleah Blom
language : en
Publisher: World Scientific
Release Date : 2021-11-16
Advances In Pattern Recognition And Artificial Intelligence written by Marleah Blom and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Computers categories.
This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.
Intelligent Computing
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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2006-09-01
Intelligent Computing written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-01 with Computers categories.
This book constitutes the refereed proceedings of the International Conference on Intelligent Computing, ICIC 2006, held in Kunming, China, August 2006. The book collects 161 carefully chosen and revised full papers. Topical sections include neural networks, evolutionary computing and genetic algorithms, kernel methods, combinatorial and numerical optimization, multiobjective evolutionary algorithms, neural optimization and dynamic programming, as well as case-based reasoning and probabilistic reasoning.
Pattern Recognition
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Author : Axel Pinz
language : en
Publisher: Springer
Release Date : 2012-08-14
Pattern Recognition written by Axel Pinz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-14 with Computers categories.
This book constitutes the refereed proceedings of the 34th Symposium of the German Association for Pattern Recognition, DAGM 2012, and the 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012, held in Graz, Austria, in August 2012. The 27 revised full papers and 23 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on segmentation, low-level vision, 3D reconstruction, recognition, applications, learning, and features.
Handbook Of Ambient Intelligence And Smart Environments
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Author : Hideyuki Nakashima
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-01
Handbook Of Ambient Intelligence And Smart Environments written by Hideyuki Nakashima and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-01 with Computers categories.
Our homes anticipate when we want to wake up. Our computers predict what music we want to buy. Our cars adapt to the way we drive. In today’s world, even washing machines, rice cookers and toys have the capability of autonomous decision-making. As we grow accustomed to computing power embedded in our surroundings, it becomes clear that these ‘smart environments’, with a number of devices controlled by a coordinating system capable of ‘ambient intelligence’, will play an ever larger role in our lives. This handbook provides readers with comprehensive, up-to-date coverage in what is a key technological field. . Systematically dealing with each aspect of ambient intelligence and smart environments, the text covers everything, from visual information capture and human/computer interaction to multi-agent systems, network use of sensor data, and building more rationality into artificial systems. The book also details a wide range of applications, examines case studies of recent major projects from around the world, and analyzes both the likely impact of the technology on our lives, and its ethical implications. With a wide variety of separate disciplines all conducting research relevant to this field, this handbook encourages collaboration between disparate researchers by setting out the fundamental concepts from each area that are relevant to ambient intelligence and smart environments, providing a fertile soil in which ground-breaking new work candevelop.