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Sparse Image and Signal Processing
  • Language: en
  • Pages: 351

Sparse Image and Signal Processing

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research available for download at the associated Web site.

Correspondence Analysis and Data Coding with Java and R
  • Language: en
  • Pages: 253

Correspondence Analysis and Data Coding with Java and R

  • Type: Book
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  • Published: 2005-05-26
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  • Publisher: CRC Press

Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater

Multivariate Data Analysis
  • Language: en
  • Pages: 224

Multivariate Data Analysis

  • Type: Book
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  • Published: 2012-02-17
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  • Publisher: Springer

Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines. Although the applications considered focus on astronomy, the algorithms used can be applied to similar problems in other branches of science. Fortran programs are provided for many of the methods described.

Statistical Learning and Data Science
  • Language: en
  • Pages: 242

Statistical Learning and Data Science

  • Type: Book
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  • Published: 2011-12-19
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  • Publisher: CRC Press

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data wor

Data Science Foundations
  • Language: en
  • Pages: 205

Data Science Foundations

  • Type: Book
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  • Published: 2017
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  • Publisher: Unknown

None

Image Processing and Data Analysis
  • Language: en
  • Pages: 301

Image Processing and Data Analysis

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

Clustering
  • Language: en
  • Pages: 374

Clustering

  • Type: Book
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  • Published: 2016-04-19
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  • Publisher: CRC Press

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning req

Interactive Graphics for Data Analysis
  • Language: en
  • Pages: 293

Interactive Graphics for Data Analysis

  • Type: Book
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  • Published: 2008-10-24
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  • Publisher: CRC Press

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets.Fundamentals of Interactive Statistical GraphicsThe first part of the book summarizes principles and methodology, demons

R Graphics
  • Language: en
  • Pages: 322

R Graphics

  • Type: Book
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  • Published: 2005-07-29
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  • Publisher: CRC Press

R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians.Destined to become an instant classic, R Graphics presents the first complete, authoritative exposition on the R graphical system. Paul Murrell, widely known as the leading expert o

Sparse Image and Signal Processing
  • Language: en
  • Pages: 449

Sparse Image and Signal Processing

Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.