The Dissimilarity Representation for Pattern Recognition is popular PDF and ePub book, written by El?bieta P?kalska in 2005, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, The Dissimilarity Representation for Pattern Recognition can be Read Online from any device for your convenience.

The Dissimilarity Representation for Pattern Recognition Book PDF Summary

This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition.Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis.With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.

Detail Book of The Dissimilarity Representation for Pattern Recognition PDF

The Dissimilarity Representation for Pattern Recognition
  • Author : El?bieta P?kalska
  • Release : 01 October 2024
  • Publisher : World Scientific
  • ISBN : 9789812565303
  • Genre : Computers
  • Total Page : 634 pages
  • Language : English
  • PDF File Size : 17,5 Mb

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