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Author : Eileen C. Schwab
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.14/5 ( download)
Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eileen C. Schwab
Publisher :
ISBN 13 : 9780126314045
Total Pages : 245 pages
Book Rating : 4.47/5 ( download)
Download or read book Pattern recognition by humans and machines. 2. Visual perception written by Eileen C. Schwab and published by . This book was released on 1986 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eileen C. Schwab
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.09/5 ( download)
Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eileen C. Schwab
Publisher :
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.50/5 ( download)
Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by . This book was released on 1986 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Maria De Marsico
Publisher : Academic Press
ISBN 13 : 0081007124
Total Pages : 248 pages
Book Rating : 4.29/5 ( download)
Download or read book Human Recognition in Unconstrained Environments written by Maria De Marsico and published by Academic Press. This book was released on 2017-01-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities
Author : Eileen C. Schwab
Publisher : Academic Press
ISBN 13 : 1483220109
Total Pages : 337 pages
Book Rating : 4.09/5 ( download)
Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by Academic Press. This book was released on 2013-09-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognition by Humans and Machines, Volume 1: Speech Perception covers perception from the perspectives of cognitive psychology, artificial intelligence, and brain theory. The book discusses on the research, theory, and the principal issues of speech perception; the auditory and phonetic coding of speech; and the role of the lexicon in speech perception. The text also describes the role of attention and active processing in speech perception; the suprasegmental in very large vocabulary word recognition; and the adaptive self-organization of serial order in behavior. The cognitive science and the study of cognition and language are also considered. Psychologists will find the book invaluable.
Author : Eileen C. Schwab
Publisher :
ISBN 13 : 9780126314014
Total Pages : 245 pages
Book Rating : 4.12/5 ( download)
Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by . This book was released on 1986 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ulisses Braga-Neto
Publisher : Springer Nature
ISBN 13 : 3030276562
Total Pages : 357 pages
Book Rating : 4.60/5 ( download)
Download or read book Fundamentals of Pattern Recognition and Machine Learning written by Ulisses Braga-Neto and published by Springer Nature. This book was released on 2020-09-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study. It has grown out of lecture notes and assignments that the author has developed while teaching classes on this topic for the past 13 years at Texas A&M University. The book is intended to be concise but thorough. It does not attempt an encyclopedic approach, but covers in significant detail the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as Gaussian process regression and convolutional neural networks. In addition, the selection of topics has a few features that are unique among comparable texts: it contains an extensive chapter on classifier error estimation, as well as sections on Bayesian classification, Bayesian error estimation, separate sampling, and rank-based classification. The book is mathematically rigorous and covers the classical theorems in the area. Nevertheless, an effort is made in the book to strike a balance between theory and practice. In particular, examples with datasets from applications in bioinformatics and materials informatics are used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and scikit-learn. All plots in the text were generated using python scripts, which are also available on the book website.
Author : Ray Kurzweil
Publisher : Penguin
ISBN 13 : 0143124048
Total Pages : 354 pages
Book Rating : 4.47/5 ( download)
Download or read book How to Create a Mind written by Ray Kurzweil and published by Penguin. This book was released on 2013-08-27 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The bold futurist and bestselling author of The Singularity is Nearer explores the limitless potential of reverse-engineering the human brain Ray Kurzweil is arguably today’s most influential—and often controversial—futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world’s problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating. Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines.
Author : Jianlong Zhou
Publisher : Springer
ISBN 13 : 3319904035
Total Pages : 482 pages
Book Rating : 4.30/5 ( download)
Download or read book Human and Machine Learning written by Jianlong Zhou and published by Springer. This book was released on 2018-06-07 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
