A new strategy for applying grammatical inference to image classification problems

Hemerson Pistori, Andrew Calway, Peter Flach

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

This paper presents a new strategy to represent an image as a string so that standard grammar induction techniques can be used in computer vision problems. Two sets of experiments using an artificial and a real dataset have been conducted in order to explore the new strategy parameters and to have a first glimpse on its comparative performance against some standard machine learning techniques. The results are encouraging and the proposal opens new paths of exploration for syntactical pattern recognition.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
Pages1032-1037
Number of pages6
DOIs
Publication statusPublished - 15 May 2013
Event2013 IEEE International Conference on Industrial Technology, ICIT 2013 - Cape Town, United Kingdom
Duration: 25 Feb 201328 Feb 2013

Conference

Conference2013 IEEE International Conference on Industrial Technology, ICIT 2013
CountryUnited Kingdom
CityCape Town
Period25/02/1328/02/13

Structured keywords

  • Jean Golding

Keywords

  • Grammar Inference
  • Image Processing
  • Syntactical Pattern Recognition

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