bokomslag Sparse and Redundant Representations
Data & IT

Sparse and Redundant Representations

Michael Elad

Inbunden

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Andra format:

  • 376 sidor
  • 2010
A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockhams razor: Entities should not be multiplied without neces sity. This principle enabled scientists to select the best physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguagespokenwhenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with the Yin Yang interplay between the parsimony of descriptions and the language or dictionary used in them, and it became an extremely exciting area of investigation. It alreadyyielded a rich crop of mathematically pleasing, deep and beautiful results that quickly translated into a wealth of practical engineering applications. You are holding in your hands the ?rst guide book to Sparseland, and I am sure youll ?nd in it both familiar and new landscapes to see and admire, as well as ex cellent pointers that will help you ?nd further valuable treasures. Enjoy the journey to Sparseland! Haifa, Israel, December 2009 Alfred M. Bruckstein vii Preface This book was originally written to serve as the material for an advanced one semester (fourteen 2 hour lectures) graduate course for engineering students at the Technion, Israel.
  • Författare: Michael Elad
  • Illustratör: 120 schwarz-weiße und 41 farbige Abbildungen
  • Format: Inbunden
  • ISBN: 9781441970107
  • Språk: Engelska
  • Antal sidor: 376
  • Utgivningsdatum: 2010-08-19
  • Förlag: Springer-Verlag New York Inc.