Non-Negative Matrix Factorization Techniques: Advances in Theory and Applications, Naik Ganesh R.
Автор: Ishai Yuval, Rijmen Vincent Название: Advances in Cryptology - Eurocrypt 2019: 38th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Darmstadt, G ISBN: 303017655X ISBN-13(EAN): 9783030176556 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The three volume-set LNCS 11476, 11477, and 11478 constitute the thoroughly refereed proceedings of the 38th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2019,held in Darmstadt, Germany, in May 2019. The 76 full papers presented were carefully reviewed and selected from 327 submissions.
Автор: Canteaut Anne, Ishai Yuval Название: Advances in Cryptology - Eurocrypt 2020: 39th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zagreb, Croa ISBN: 3030457265 ISBN-13(EAN): 9783030457266 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The three volume-set LNCS 12105, 12106, and 12107 constitute the thoroughly refereed proceedings of the 39th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2020, which was due to be held in Zagreb, Croatia, in May 2020.
Автор: Wojciech Mitkowski; Janusz Kacprzyk; Jerzy Baranow Название: Advances in the Theory and Applications of Non-integer Order Systems ISBN: 3319032984 ISBN-13(EAN): 9783319032986 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents aspects of non-integer order systems which are attracting increasing attention in the community of systems science, applied mathematics and control theory. Analyzes problems from mechatronics, biomedical engineering, robotics and others.
Автор: Wojciech Mitkowski; Janusz Kacprzyk; Jerzy Baranow Название: Advances in the Theory and Applications of Non-integer Order Systems ISBN: 331900932X ISBN-13(EAN): 9783319009322 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents aspects of non-integer order systems which are attracting increasing attention in the community of systems science, applied mathematics and control theory. Analyzes problems from mechatronics, biomedical engineering, robotics and others.
Автор: Ganesh R. Naik Название: Non-negative Matrix Factorization Techniques ISBN: 3662483300 ISBN-13(EAN): 9783662483305 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book collects new results, concepts and further developments of NMF. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.
Автор: Panagiotis Symeonidis; Andreas Zioupos Название: Matrix and Tensor Factorization Techniques for Recommender Systems ISBN: 3319413562 ISBN-13(EAN): 9783319413563 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a detailed theoretical mathematical background of matrix/tensor factorization techniques and a step-by-step analysis of each method on the basis of an integrated toy example that runs throughout all its chapters and helps the reader to understand the key differences among methods.
Автор: Panayot S. Vassilevski Название: Multilevel Block Factorization Preconditioners ISBN: 1441924485 ISBN-13(EAN): 9781441924483 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph is the first to provide a comprehensive, self-contained and rigorous presentation of some of the most powerful preconditioning methods for solving finite element equations in a common block-matrix factorization framework.
Автор: Guanghui Wang; Jonathan Wu Название: Guide to Three Dimensional Structure and Motion Factorization ISBN: 1447125878 ISBN-13(EAN): 9781447125877 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This practical guide provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The text discusses the latest research in the field and presents new algorithms developed by the authors.
Автор: Lyche Tom, Muntingh Georg, Ryan Шyvind Название: Exercises in Numerical Linear Algebra and Matrix Factorizations ISBN: 3030597881 ISBN-13(EAN): 9783030597887 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To put the world of linear algebra to advanced use, it is not enough to merely understand the theory; This book provides precisely this type of supporting material for the textbook "Numerical Linear Algebra and Matrix Factorizations," published as Vol.
Автор: D Jude Hemanth Название: Recent advances on memetic algorithms and its applications in image processing ISBN: 9811513619 ISBN-13(EAN): 9789811513619 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes original research findings in the field of memetic algorithms for image processing applications.
Автор: Jianhua Yao; Ben Glocker; Tobias Klinder; Shuo Li Название: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging ISBN: 3319385992 ISBN-13(EAN): 9783319385990 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.
Автор: Warren J. Gross; Vincent C. Gaudet Название: Stochastic Computing: Techniques and Applications ISBN: 3030037290 ISBN-13(EAN): 9783030037291 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumann's work on probabilistic logic. In SC, real numbers are encoded by random binary bit streams, and information is carried on the statistics of the binary streams. SC offers advantages such as hardware simplicity and fault tolerance. Its promise in data processing has been shown in applications including neural computation, decoding of error-correcting codes, image processing, spectral transforms and reliability analysis.There are three main parts to this book. The first part, comprising Chapters 1 and 2, provides a history of the technical developments in stochastic computing and a tutorial overview of the field for both novice and seasoned stochastic computing researchers. In the second part, comprising Chapters 3 to 8, we review both well-established and emerging design approaches for stochastic computing systems, with a focus on accuracy, correlation, sequence generation, and synthesis. The last part, comprising Chapters 9 and 10, provides insights into applications in machine learning and error-control coding.
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