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Disagreement Loop And Path Creation Annihilation Algorithms For Binary Planar Markov Fields With Applications To Image Segmentation
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Book Synopsis Disagreement Loop and Path Creation/annihilation Algorithms for Binary Planar Markov Fields with Applications to Image Segmentation by : T. Schreiber
Download or read book Disagreement Loop and Path Creation/annihilation Algorithms for Binary Planar Markov Fields with Applications to Image Segmentation written by T. Schreiber and published by . This book was released on 2007 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Planarity Matters by : Julian Elliot Yarkony
Download or read book Planarity Matters written by Julian Elliot Yarkony and published by . This book was released on 2012 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation investigates two fundamental problems in computer vision, image labeling and image segmentation. We approach these problems from the viewpoints of MAP inference in planar MRFs and correlation clustering on planar graphs. This dissertation introduces two algorithms for MAP inference in planar MRFs. The first algorithm is concerned exclusively with MAP inference in binary planar MRFs while the second is concerned with MAP inference in non-binary planar MRFs. The first algorithm relies on relaxing a binary planar MRF to a planar cycle covering graph (PCCG) upon which MAP inference is tractable. The second algorithm (PSP) is designed for non-binary problems and is fundamentally a cutting plane algorithm which includes violated cycle constraints in large batches. This dissertation also introduces algorithms for image segmentation and hierarchical image segmentation. Our image segmentation algorithm (PlanarCC) treats image segmentation as a planar correlation clustering problem. PlanarCC applies dual decomposition in a novel way by implementing a cutting plane approach within dual optimization. Our hierarchical image segmentation algorithm (HPlanarCC) frames hierarchical image segmentation as an optimization problem then uses methods similar to PlanarCC to optimize the objective. All of our approaches provide guarantees on the effectiveness of inference in the form of upper and lower bounds on the MAP energy.
Book Synopsis Markov Random Fields in Image Segmentation by : Zoltan Kato
Download or read book Markov Random Fields in Image Segmentation written by Zoltan Kato and published by Now Pub. This book was released on 2012-09 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov Random Fields in Image Segmentation provides an introduction to the fundamentals of Markovian modeling in image segmentation as well as a brief overview of recent advances in the field. Segmentation is formulated within an image labeling framework, where the problem is reduced to assigning labels to pixels. In a probabilistic approach, label dependencies are modeled by Markov random fields (MRF) and an optimal labeling is determined by Bayesian estimation, in particular maximum a posteriori (MAP) estimation. The main advantage of MRF models is that prior information can be imposed locally through clique potentials. MRF models usually yield a non-convex energy function. The minimization of this function is crucial in order to find the most likely segmentation according to the MRF model. Classical optimization algorithms including simulated annealing and deterministic relaxation are treated along with more recent graph cut-based algorithms. The primary goal of this monograph is to demonstrate the basic steps to construct an easily applicable MRF segmentation model and further develop its multi-scale and hierarchical implementations as well as their combination in a multilayer model. Representative examples from remote sensing and biological imaging are analyzed in full detail to illustrate the applicability of these MRF models. Furthermore, a sample implementation of the most important segmentation algorithms is available as supplementary software. Markov Random Fields in Image Segmentation is an invaluable resource for every student, engineer, or researcher dealing with Markovian modeling for image segmentation.
Book Synopsis Efficient Algorithms for Markov Random Fields, Isotonic Regression, Graph Fused Lasso, and Image Segmentation by : Cheng Lu
Download or read book Efficient Algorithms for Markov Random Fields, Isotonic Regression, Graph Fused Lasso, and Image Segmentation written by Cheng Lu and published by . This book was released on 2017 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov random field (MRF) is a multi-label clustering model with applications in image segmentation, image deblurring, isotonic regression, graph fused lasso, and semi-supervised learning. It is a convex optimization problem on an arbitrary graph of objective function consisting of functions defined on the nodes (called deviation functions) and edges (called separation functions) of the graph. There exists a provably fastest MRF-algorithm for arbitrary graphs and a broad class of objective functions. This MRF-algorithm uses the technique of graph minimum cut. Although MRF of this class of objective functions generalizes isotonic regression and graph fused lasso, this MRF-algorithm has lower time complexity than those specialized algorithms for isotonic regression and graph fused lasso. Some problems in time series and gene sequence signal processing are special cases of MRF on a path graph. We present three efficient algorithms to solve MRF on a path graph for different classes of objective functions. The algorithms are the fastest algorithms for the respective classes of objective functions. The first algorithm uses graph minimum cut technique inspired by the provably fastest MRF-algorithm. The second algorithm is based on a relationship with a lot-sizing problem in production planning. The third algorithm is based on the technique of Karush-Kuhn-Tucker (KKT) optimality conditions. MRF is used in image segmentation to identify multiple salient features in an image. The Hochbaum Normalized Cut (HNC) model is a binary clustering model that is also applicable to image segmentation, with the goal to separate the foreground from the background. We compare the empirical performance between the HNC model and the spectral method in image segmentation. Both HNC and the spectral method can be viewed as heuristics for the NP-hard normalized cut criterion, which is another binary clustering criterion often used for image segmentation. We present experimental evidence that the HNC model provides solutions which not only better approximate the optimal normalized cut solution, but also have better visual segmentation quality over those provided by the spectral method. The experimental evidence further suggests that HNC should be the preferred image segmentation criterion over normalized cut.
Book Synopsis Application of Markov Field Models to the Design and Analysis of Image Segmentation Algorithms by : Fred R. Hansen
Download or read book Application of Markov Field Models to the Design and Analysis of Image Segmentation Algorithms written by Fred R. Hansen and published by . This book was released on 1981 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Tensor Network Contractions by : Shi-Ju Ran
Download or read book Tensor Network Contractions written by Shi-Ju Ran and published by Springer Nature. This book was released on 2020-01-27 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics.
Book Synopsis Mathematical Methods for Signal and Image Analysis and Representation by : Luc Florack
Download or read book Mathematical Methods for Signal and Image Analysis and Representation written by Luc Florack and published by Springer Science & Business Media. This book was released on 2012-01-13 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a subset of spacetime). The existing literature on image methodology is rather scattered and often limited to either a deterministic or a statistical point of view. In contrast, this book brings together these seemingly different points of view in order to stress their conceptual relations and formal analogies. Furthermore, it does not focus on specific applications, although some are detailed for the sake of illustration, but on the methodological frameworks on which such applications are built, making it an ideal companion for those seeking a rigorous methodological basis for specific algorithms as well as for those interested in the fundamental methodology per se. Covering many topics at the forefront of current research, including anisotropic diffusion filtering of tensor fields, this book will be of particular interest to graduate and postgraduate students and researchers in the fields of computer vision, medical imaging and visual perception.
Book Synopsis Image Processing with MATLAB by : Omer Demirkaya
Download or read book Image Processing with MATLAB written by Omer Demirkaya and published by CRC Press. This book was released on 2008-12-22 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Processing with MATLAB: Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLAB algorithms. It describes classical as well emerging areas in image processing and analysis. Providing many unique MATLAB codes and functions throughout, the book covers the theory of probability an
Book Synopsis Quantum Computation and Quantum Information by : Michael A. Nielsen
Download or read book Quantum Computation and Quantum Information written by Michael A. Nielsen and published by Cambridge University Press. This book was released on 2010-12-09 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.
Book Synopsis Emergent Phenomena in Correlated Matter by : Eva Pavarini
Download or read book Emergent Phenomena in Correlated Matter written by Eva Pavarini and published by Forschungszentrum Jülich. This book was released on 2013 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Numerical Computations with GPUs by : Volodymyr Kindratenko
Download or read book Numerical Computations with GPUs written by Volodymyr Kindratenko and published by Springer. This book was released on 2014-07-03 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference.
Book Synopsis Probability Theory and Stochastic Processes with Applications (Second Edition) by : Oliver Knill
Download or read book Probability Theory and Stochastic Processes with Applications (Second Edition) written by Oliver Knill and published by World Scientific Publishing Company. This book was released on 2017-01-31 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of probability theory. It starts on a fast track with the treatment of probability theory and stochastic processes by providing short proofs. The last chapter is unique as it features a wide range of applications in other fields like Vlasov dynamics of fluids, statistics of circular data, singular continuous random variables, Diophantine equations, percolation theory, random Schrödinger operators, spectral graph theory, integral geometry, computer vision, and processes with high risk.Many of these areas are under active investigation and this volume is highly suited for ambitious undergraduate students, graduate students and researchers.
Book Synopsis Shape Analysis in Medical Image Analysis by : Shuo Li
Download or read book Shape Analysis in Medical Image Analysis written by Shuo Li and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.
Book Synopsis Molecular Quantum Dynamics by : Fabien Gatti
Download or read book Molecular Quantum Dynamics written by Fabien Gatti and published by Springer Science & Business Media. This book was released on 2014-04-09 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on current applications of molecular quantum dynamics. Examples from all main subjects in the field, presented by the internationally renowned experts, illustrate the importance of the domain. Recent success in helping to understand experimental observations in fields like heterogeneous catalysis, photochemistry, reactive scattering, optical spectroscopy, or femto- and attosecond chemistry and spectroscopy underline that nuclear quantum mechanical effects affect many areas of chemical and physical research. In contrast to standard quantum chemistry calculations, where the nuclei are treated classically, molecular quantum dynamics can cover quantum mechanical effects in their motion. Many examples, ranging from fundamental to applied problems, are known today that are impacted by nuclear quantum mechanical effects, including phenomena like tunneling, zero point energy effects, or non-adiabatic transitions. Being important to correctly understand many observations in chemical, organic and biological systems, or for the understanding of molecular spectroscopy, the range of applications covered in this book comprises broad areas of science: from astrophysics and the physics and chemistry of the atmosphere, over elementary processes in chemistry, to biological processes (such as the first steps of photosynthesis or vision). Nevertheless, many researchers refrain from entering this domain. The book "Molecular Quantum Dynamics" offers them an accessible introduction. Although the calculation of large systems still presents a challenge - despite the considerable power of modern computers - new strategies have been developed to extend the studies to systems of increasing size. Such strategies are presented after a brief overview of the historical background. Strong emphasis is put on an educational presentation of the fundamental concepts, so that the reader can inform himself about the most important concepts, like eigenstates, wave packets, quantum mechanical resonances, entanglement, etc. The chosen examples highlight that high-level experiments and theory need to work closely together. This book thus is a must-read both for researchers working experimentally or theoretically in the concerned fields, and generally for anyone interested in the exciting world of molecular quantum dynamics.
Book Synopsis Natural Language Processing and Text Mining by : Anne Kao
Download or read book Natural Language Processing and Text Mining written by Anne Kao and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Book Synopsis Applications of Robotics in Industry Using Advanced Mechanisms by : Janmenjoy Nayak
Download or read book Applications of Robotics in Industry Using Advanced Mechanisms written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2019-09-03 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shares important findings on the application of robotics in industry using advanced mechanisms, including software and hardware. It presents a collection of recent trends and research on various advanced computing paradigms such as soft computing, robotics, smart automation, power control, and uncertainty analysis. The book constitutes the proceedings of the 1st International Conference on Application of Robotics in Industry using Advanced Mechanisms (ARIAM2019), which offered a platform for sharing original research findings, presenting innovative ideas and applications, and comparing notes on various aspects of robotics. The contributions highlight the latest research and industrial applications of robotics, and discuss approaches to improving the smooth functioning of industries. Moreover, they focus on designing solutions for complex engineering problems and designing system components or processes to meet specific needs, with due considerations for public health and safety, including cultural, societal, and environmental considerations. Taken together, they offer a valuable resource for researchers, scientists, engineers, professionals and students alike.
Book Synopsis Basics of Perturbative QCD by : Yuri Dokshitzer
Download or read book Basics of Perturbative QCD written by Yuri Dokshitzer and published by Atlantica Séguier Frontières. This book was released on 1991 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:
