Discrete H? Optimization, Charles K. Chui; Guanrong Chen
Автор: Peter I. Cowling; Peter Merz Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3642121381 ISBN-13(EAN): 9783642121388 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2010, held in Instanbul, Turkey, in April 2010. This book discusses developments and applications in metaheuristics.
Data Analysis, Data Mining.- Heuristic / Meta Heuristic Methods for Operational Research Applications.- Optimization Applied to Surveillance and Threat Detection.- Maintenance and Production Control Problems.- Scheduling.- Some Topic in Post Crises Banking and Eco-finance Modelling.- Transportation.- Technologies and Methods for Multi-stakeholder Decision Analysis in Public Settings.
Автор: Mongi A. Abidi; Andrei V. Gribok; Joonki Paik Название: Optimization Techniques in Computer Vision ISBN: 3319463632 ISBN-13(EAN): 9783319463636 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.
Combinatorial Optimization and Applications.- DC Programming and DCA: Thirty Years of Developments.- Dynamic Optimization.- Modelling and Optimization in Nancial Engineering.- Multiobjective Programming.- Numerical Optimization.- Spline Approximation and Optimization.- Variational Principles and Applications.
Автор: Bahmani, Sohail Название: Algorithms for sparsity-constrained optimization ISBN: 3319018809 ISBN-13(EAN): 9783319018805 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thesis presents a wholly new technique in the structural analysis of data that uses a `greedy` algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.
Автор: Jean-Baptiste Hiriart-Urruty; Adam Korytowski; Hel Название: Advances in Mathematical Modeling, Optimization and Optimal Control ISBN: 3319307843 ISBN-13(EAN): 9783319307848 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Krak w, Poland in 2013. Each chapter in this book exhibits a comprehensive look at new theoretical and/or application-oriented results in mathematical modeling, optimization, and optimal control. Students and researchers involved in image processing, partial differential inclusions, shape optimization, or optimal control theory and its applications to medical and rehabilitation technology, will find this book valuable.
The first chapter by Martin Burger provides an overview of recent developments related to Bregman distances, which is an important tool in inverse problems and image processing. The chapter by Piotr Kalita studies the operator version of a first order in time partial differential inclusion and its time discretization. In the chapter by G nter Leugering, Jan Sokolowski and Antoni Żochowski, nonsmooth shape optimization problems for variational inequalities are considered. The next chapter, by Katja Mombaur is devoted to applications of optimal control and inverse optimal control in the field of medical and rehabilitation technology, in particular in human movement analysis, therapy and improvement by means of medical devices. The final chapter, by Nikolai Osmolovskii and Helmut Maurer provides a survey on no-gap second order optimality conditions in the calculus of variations and optimal control, and a discussion of their further development.
Автор: Treiber, Marco Alexander Название: Optimization for computer vision ISBN: 1447152824 ISBN-13(EAN): 9781447152828 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization for Computer Vision
Автор: Sohail Bahmani Название: Algorithms for Sparsity-Constrained Optimization ISBN: 3319377191 ISBN-13(EAN): 9783319377193 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thesis presents a wholly new technique in the structural analysis of data that uses a `greedy` algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.
Автор: Nicolas Normand; Jeanpierre Gu?don; Florent Autrus Название: Discrete Geometry for Computer Imagery ISBN: 3319323598 ISBN-13(EAN): 9783319323596 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thisbook constitutes the refereed proceedings of the 19th IAPR InternationalConference on Discrete Geometry for Computer Imagery, DGCI 2016, held in Nantes,France, in April 2016. discrete and combinatorial topology; models fordiscrete geometry; and discrete shape representation, recognition and analysis.
Автор: Leo J. Grady; Jonathan R. Polimeni Название: Discrete Calculus ISBN: 1447157370 ISBN-13(EAN): 9781447157373 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction. Many example applications from several fields of computational science are provided.
Автор: Ee-Leng Tan; Woon-Seng Gan Название: Perceptual Image Coding with Discrete Cosine Transform ISBN: 9812875425 ISBN-13(EAN): 9789812875426 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Computational Models for Just-Noticeable-Differences.- Perceptual Image Coding with Discrete Cosine Transform.- Validation of Computational Model for JND.- Concluding Remarks.
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