Building Intelligent Systems Utilizing Computer Vision Data Mining And Machine Learning

Author : Phil Tian
Publisher :
ISBN 13 : 9781934053522
Total Pages : 460 pages
Book Rating : 4.2X/5 ( download)

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Download or read book Building Intelligent Systems: Utilizing Computer Vision, Data Mining, and Machine Learning written by Phil Tian and published by . This book was released on 2013-05-21 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumers are now demanding and expecting more from technology. Building intelligence into our devices is a promising way to satisfy this demand by providing more personalized experiences. In Building Intelligent Systems the authors investigate how computer vision, machine learning, and data mining can be used together to build smarter devices and systems. Additionally, they explore some of the practical considerations of using artificial intelligence in the real world, tackling issues that are often overlooked in academic circles, such as performance optimization, benchmarking, robustness, and privacy.

Author : Soumen Chakrabarti
Publisher : Morgan Kaufmann
ISBN 13 : 0080877885
Total Pages : 477 pages
Book Rating : 4.84/5 ( download)

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Download or read book Data Mining: Know It All written by Soumen Chakrabarti and published by Morgan Kaufmann. This book was released on 2008-10-31 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader’s technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.

Author : El-Sayed M. El-Alfy
Publisher : CRC Press
ISBN 13 : 1000851907
Total Pages : 361 pages
Book Rating : 4.08/5 ( download)

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Download or read book Intelligent Image and Video Analytics written by El-Sayed M. El-Alfy and published by CRC Press. This book was released on 2023-04-12 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics Explores important applications that require techniques from both artificial intelligence and computer vision Describes multimodality video analytics for different applications Examines issues related to multimodality data fusion and highlights research challenges Integrates various techniques from video processing, data mining and machine learning which has many emerging indoor and outdoor applications of smart cameras in smart environments, smart homes, and smart cities

Author : Harish Sharma
Publisher : Springer Nature
ISBN 13 : 9813345829
Total Pages : 591 pages
Book Rating : 4.29/5 ( download)

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Download or read book Intelligent Learning for Computer Vision written by Harish Sharma and published by Springer Nature. This book was released on 2021-05-19 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.

Author : Mohammed J. Zaki
Publisher : Cambridge University Press
ISBN 13 : 1108658695
Total Pages : 780 pages
Book Rating : 4.90/5 ( download)

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Download or read book Data Mining and Machine Learning written by Mohammed J. Zaki and published by Cambridge University Press. This book was released on 2020-01-30 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

Author : Kashyap, Ramgopal
Publisher : IGI Global
ISBN 13 : 1799801845
Total Pages : 293 pages
Book Rating : 4.49/5 ( download)

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Download or read book Challenges and Applications for Implementing Machine Learning in Computer Vision written by Kashyap, Ramgopal and published by IGI Global. This book was released on 2019-10-04 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Author : Mayuri Mehta
Publisher : Springer Nature
ISBN 13 : 3031128079
Total Pages : 273 pages
Book Rating : 4.73/5 ( download)

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Download or read book Explainable AI: Foundations, Methodologies and Applications written by Mayuri Mehta and published by Springer Nature. This book was released on 2022-10-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.

Author : Nitin Mittal
Publisher : CRC Press
ISBN 13 : 1000985806
Total Pages : 341 pages
Book Rating : 4.01/5 ( download)

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Download or read book Intelligent Systems and Applications in Computer Vision written by Nitin Mittal and published by CRC Press. This book was released on 2023-11-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Author : Will Ballard
Publisher : Packt Publishing Ltd
ISBN 13 : 1789532515
Total Pages : 92 pages
Book Rating : 4.17/5 ( download)

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Download or read book Hands-On Deep Learning for Images with TensorFlow written by Will Ballard and published by Packt Publishing Ltd. This book was released on 2018-07-31 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision Build an effective image classification system using the power of CNNs Leverage TensorFlow’s capabilities to perform efficient deep learning Book Description TensorFlow is Google’s popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow’s capabilities to perform efficient image processing using the power of deep learning. With the help of this book, you will get to grips with the different paradigms of performing deep learning such as deep neural nets and convolutional neural networks, followed by understanding how they can be implemented using TensorFlow. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow and Keras. What you will learn Build machine learning models particularly focused on the MNIST digits Work with Docker and Keras to build an image classifier Understand natural language models to process text and images Prepare your dataset for machine learning Create classical, convolutional, and deep neural networks Create a RESTful image classification server Who this book is for Hands-On Deep Learning for Images with TensorFlow is for you if you are an application developer, data scientist, or machine learning practitioner looking to integrate machine learning into application software and master deep learning by implementing practical projects in TensorFlow. Knowledge of Python programming and basics of deep learning are required to get the best out of this book.

Author : Chiranji Lal Chowdhary
Publisher : Computing and Networks
ISBN 13 : 9781839533235
Total Pages : 504 pages
Book Rating : 4.34/5 ( download)

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Download or read book Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches written by Chiranji Lal Chowdhary and published by Computing and Networks. This book was released on 2021-11 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.