Pattern Recognition

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  • Author : Horst Langer
  • Publisher : Computational Geophysics
  • Pages : 350 pages
  • ISBN : 9780128118429
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Pattern Recognition

Download or Read online Pattern Recognition full in PDF, ePub and kindle. this book written by Horst Langer and published by Computational Geophysics which was released on 01 September 2019 with total page 350 pages. We cannot guarantee that Pattern Recognition book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Pattern Recognition: Applications in Geosciences, volume three in the Computational Geophysics series, highlights the advantages of pattern recognition and classification methods and examines potential pitfalls and failures that can arise. The handling of data is a typical problem of multivariate analysis in which pattern recognition techniques can offer a suitable key for the processing and extraction of useful information. This book investigates both supervised techniques, such as linear discrimination, and unsupervised techniques, including various concepts of clustering. All approaches are extensively discussed, including example applications and an introduction to available software packages. This book comprises the formulation of the problem, the choice of suitable features and strategies, and a discussion of the results, thus making it an ideal reference for researchers looking to apply these techniques to their field of geophysics. Offers real-world examples of techniques for pattern recognition and handling multivariate data from a variety of geophysical fields Includes examples of applications and diagrams to enhance understanding of pattern recognition techniques Provides an introduction to relevant software packages, such as TREmOREC and KKAnalysis

Pattern Recognition

Pattern Recognition
  • Author : Horst Langer,Susanna Falsaperla,Conny Hammer
  • Publisher : Computational Geophysics
  • Release : 01 September 2019
GET THIS BOOK Pattern Recognition

Pattern Recognition: Applications in Geosciences, volume three in the Computational Geophysics series, highlights the advantages of pattern recognition and classification methods and examines potential pitfalls and failures that can arise. The handling of data is a typical problem of multivariate analysis in which pattern recognition techniques can offer a suitable key for the processing and extraction of useful information. This book investigates both supervised techniques, such as linear discrimination, and unsupervised techniques, including various concepts of clustering. All approaches are

Advantages and Pitfalls of Pattern Recognition

Advantages and Pitfalls of Pattern Recognition
  • Author : Horst Langer,Susanna Falsaperla,Conny Hammer
  • Publisher : Elsevier
  • Release : 23 November 2019
GET THIS BOOK Advantages and Pitfalls of Pattern Recognition

Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than

Pattern Recognition Engineering

Pattern Recognition Engineering
  • Author : Morton Nadler,Eric P. Smith
  • Publisher : Wiley-Interscience
  • Release : 28 April 1993
GET THIS BOOK Pattern Recognition Engineering

Serves as an introduction to the field of pattern recognition through a unique parallel development of statistical and structural approaches. Emphasizes techniques that model aspects of human perception. Emphasizes real-time algorithmic approaches with attention to the hardware aspects. Features comprehensive and critical coverage of edge direction, state machine, nearest neighbor and iterative learning methods. Introduces elementary concepts of sequential machine theory as applied to structural pattern recognition. Contains an extensive bibliography.