Matrix Training Im Fu Ball

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Life S Matrix

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Author : Philip Ball
language : en
Publisher: Univ of California Press
Release Date : 2001

Life S Matrix written by Philip Ball and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Nature categories.

In "Life's Matrix", Philip Ball writes of water's origins, history, and unique physical character. His provocative exploration of water on other planets highlights the possibilities of life beyond Earth. It also examines the grim realities of depletion of natural resources and its effects on the availability of water in the 21st century. Illustrations.

Graph Embedding For Pattern Analysis

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Author : Yun Fu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-19

Graph Embedding For Pattern Analysis written by Yun Fu 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 2012-11-19 with Technology & Engineering categories.

Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Lifelong Machine Learning Second Edition

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Author : Zhiyuan Sun
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Lifelong Machine Learning Second Edition written by Zhiyuan Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Implementing Rapid E Learning Through Interactive Materials Development

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Author : Santally, Mohammad Issack
language : en
Publisher: IGI Global
Release Date : 2023-07-24

Implementing Rapid E Learning Through Interactive Materials Development written by Santally, Mohammad Issack and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Education categories.

In the past, the process of developing an interactive digital learning resource required content developers, technology experts, and learning designers to work together. As such, the process was time consuming and expensive. Now there are new tools that do not require advanced mastery of ICTs for the development of digital learning resources. Such tools allow the reduction of costs and timelines of development. The rapid e-learning method helps to decentralize curriculum digitization and empower teachers to embrace technology to develop and share resources among peers. Implementing Rapid E-Learning Through Interactive Materials Development provides a relevant theoretical foundation for the design and development of interactive learning materials using the rapid e-learning method. It draws on research, case studies, and reports from different contextual applications of the methods, challenges, and learning experiences of students. Covering topics such as goal-oriented design, quality assurance, and rapid game development, this premier reference source is an essential resource for multimedia developers, IT professionals, learning designers, educators and administrators of both K-12 and higher education, pre-service teachers, teacher educators, librarians, researchers, and academicians.

Low Rank And Sparse Modeling For Visual Analysis

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Author : Yun Fu
language : en
Publisher: Springer
Release Date : 2014-10-30

Low Rank And Sparse Modeling For Visual Analysis written by Yun Fu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-30 with Computers categories.

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.

Recent Developments In Mechatronics And Intelligent Robotics

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Author : Srikanta Patnaik
language : en
Publisher: Springer Nature
Release Date : 2020-03-04

Recent Developments In Mechatronics And Intelligent Robotics written by Srikanta Patnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-04 with Technology & Engineering categories.

This book gathers selected papers presented at the Third International Conference on Mechatronics and Intelligent Robotics (ICMIR 2019), held in Kunming, China, on May 25–26, 2019. The proceedings cover new findings in the following areas of research: mechatronics, intelligent mechatronics, robotics and biomimetics; novel and unconventional mechatronic systems; modeling and control of mechatronic systems; elements, structures and mechanisms of micro- and nano-systems; sensors, wireless sensor networks and multi-sensor data fusion; biomedical and rehabilitation engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial automation, process control and networked control systems; telerobotics and human–computer interaction; human–robot interaction; robotics and artificial intelligence; bio-inspired robotics; control algorithms and control systems; design theories and principles; evolutional robotics; field robotics; force sensors, accelerometers and other measuring devices; healthcare robotics; kinematics and dynamics analysis; manufacturing robotics; mathematical and computational methodologies in robotics; medical robotics; parallel robots and manipulators; robotic cognition and emotion; robotic perception and decisions; sensor integration, fusion and perception; and social robotics.

Ouroboros Adventures In The Matrix

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Author : E. R. Scofield
language : en
Publisher: E.R.Scofield
Release Date : 2010-08-07

Ouroboros Adventures In The Matrix written by E. R. Scofield and has been published by E.R.Scofield this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-07 with Fiction categories.

Ouroboros, Adventures in the Matrix, is a collection of illustrations and the short stories inspired by the pictures. In Ouroboros you will meet fairies and ghouls, Aliens and everyday people. Each story is an adventure not to be missed.

Computer Vision Eccv 2020

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Author : Andrea Vedaldi
language : en
Publisher: Springer Nature
Release Date : 2020-12-02

Computer Vision Eccv 2020 written by Andrea Vedaldi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Computers categories.

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Deep Learning Through Sparse And Low Rank Modeling

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Author : Zhangyang Wang
language : en
Publisher: Academic Press
Release Date : 2019-04-26

Deep Learning Through Sparse And Low Rank Modeling written by Zhangyang Wang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-26 with Computers categories.

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretability-with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics. Combines classical sparse and low-rank models and algorithms with the latest advances in deep learning networks Shows how the structure and algorithms of sparse and low-rank methods improves the performance and interpretability of Deep Learning models Provides tactics on how to build and apply customized deep learning models for various applications

High Dimensional Probability

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Author : Roman Vershynin
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-27

High Dimensional Probability written by Roman Vershynin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Business & Economics categories.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.