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Pattern Recognition Nick Lund Attention and Pattern Recognition
Introduction 	Pattern recognition has been defined as ‘the ability to abstract and integrate certain elements of a stimulus into an organised scheme for memory storage and retrieval’ (Solso,1998).
Features of pattern recognition 	Five principles(Solso,1998):     1.Quickly and accurately.     2.Recognise and classify unfamiliar objects.     3.Accurately recognise shapes and objects from     different angles.
Features of pattern recognition 4.Identify patterns and objects even when partly hidden. 5.Recognise patterns quickly,with ease,and with automaticity.
Features of pattern recognition 	Template matching theories 	Feature analysis 	Prototype theories
Top-down and bottom-up processing 	An examination of the theories of pattern recognition raises the question of whether pattern recognition involves top-down or bottom-up processing.
Bottom- up process Template matching theory 	Geons (Structural- description theory) 	Feature theory 	Prototype theory
Template matching theory External stumuli matches internal template 	Vast numbers of templates are stored 	Templates are created by experience E.x.: visit Russia
A A A A Problems: 1) Only occurs when there’s a one-to-one match 	Payne and Wenger (1998)
2) Where are all these templates stored? 3) Slow process Ex.: recognize 1000-1500 letters a minute 4) To recognize new variations of a pattern (Solso, 1998)
Geons  (Structural- description theory) 	Biederman (1987) 	Limited number (24) of simple geometric shapes , or geons for us to analyse patterns. Ex.: mug v.s. bucket
Geons
	Advantage: Recognize pattern from different angles 	Disadvantage: Can’t explain why we recognize a particular chair. Ex.: My face v.s. my friend’s face
Feature theory 	Patterns are recognized by analysis of the individual features of the pattern. Ex.: MANGO M A
	Four stages of pattern recognition Image demons: record the image and pass it Feature demons: analyse the image for specific feature Ex.:  Pandemonium model (Selfridge, 1959)
Cognitive demons: detect the present feature and shout Decision demons: pick up the loudest feature
Advantage: 	More flexible than template theory Ex.: A , regardless of size, shape or orientation Neisser:      M -> N H M V -> longer RT                                   (more distracter)      M -> O M Q G -> shorter RT
Disadvantage: Fail to account for the effects of context and expectations Ex.: Two experiments which can’t explain feature theory Fail to detect “t” in “the”   (Healy) Teacup, eyebrow -> cup, eye ; eac, ebr (Inhoff and Topolski)
Eysenck and Keane: ,[object Object],Relationship between the features ,[object Object],[object Object]
Disadvantage: Some questioned the existence of hypercomlex cells How specialized they need to be? Run out of cells
Prototype theory 	External stimuli matches with internal abstract prototype Ex.: R, compare to all other “R”s  	Solso(1998): two theoretical models Central-tendency model: ,[object Object],Attribute-frequency model: ,[object Object],[object Object]
Disadvantage: can’t explain the effect of context (Eysenck, 1993)  old woman v.s. young lady B, R, P have similar prototype
Top-down processing 	Word superiority effect   	Rat-Man demonstration
Rat-Man demonstration
Rat-Man demonstration
Rat-Man demonstration
The effect of context
Summary Pattern Recognition  Theories Template matching Feature analysis Prototype  Central-tendency Attribute- frequency
Summary Word superiority effect Rat-Man demonstration Pandemonium model Geons Top-down processing Bottom- up processing
THE   END
Pattern Recognition
Pattern Recognition

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Pattern Recognition

  • 1. Pattern Recognition Nick Lund Attention and Pattern Recognition
  • 2. Introduction Pattern recognition has been defined as ‘the ability to abstract and integrate certain elements of a stimulus into an organised scheme for memory storage and retrieval’ (Solso,1998).
  • 3. Features of pattern recognition Five principles(Solso,1998): 1.Quickly and accurately. 2.Recognise and classify unfamiliar objects. 3.Accurately recognise shapes and objects from different angles.
  • 4. Features of pattern recognition 4.Identify patterns and objects even when partly hidden. 5.Recognise patterns quickly,with ease,and with automaticity.
  • 5. Features of pattern recognition Template matching theories Feature analysis Prototype theories
  • 6. Top-down and bottom-up processing An examination of the theories of pattern recognition raises the question of whether pattern recognition involves top-down or bottom-up processing.
  • 7. Bottom- up process Template matching theory Geons (Structural- description theory) Feature theory Prototype theory
  • 8. Template matching theory External stumuli matches internal template Vast numbers of templates are stored Templates are created by experience E.x.: visit Russia
  • 9. A A A A Problems: 1) Only occurs when there’s a one-to-one match Payne and Wenger (1998)
  • 10. 2) Where are all these templates stored? 3) Slow process Ex.: recognize 1000-1500 letters a minute 4) To recognize new variations of a pattern (Solso, 1998)
  • 11. Geons (Structural- description theory) Biederman (1987) Limited number (24) of simple geometric shapes , or geons for us to analyse patterns. Ex.: mug v.s. bucket
  • 12. Geons
  • 13. Advantage: Recognize pattern from different angles Disadvantage: Can’t explain why we recognize a particular chair. Ex.: My face v.s. my friend’s face
  • 14. Feature theory Patterns are recognized by analysis of the individual features of the pattern. Ex.: MANGO M A
  • 15. Four stages of pattern recognition Image demons: record the image and pass it Feature demons: analyse the image for specific feature Ex.: Pandemonium model (Selfridge, 1959)
  • 16.
  • 17. Cognitive demons: detect the present feature and shout Decision demons: pick up the loudest feature
  • 18. Advantage: More flexible than template theory Ex.: A , regardless of size, shape or orientation Neisser: M -> N H M V -> longer RT (more distracter) M -> O M Q G -> shorter RT
  • 19. Disadvantage: Fail to account for the effects of context and expectations Ex.: Two experiments which can’t explain feature theory Fail to detect “t” in “the” (Healy) Teacup, eyebrow -> cup, eye ; eac, ebr (Inhoff and Topolski)
  • 20.
  • 21. Disadvantage: Some questioned the existence of hypercomlex cells How specialized they need to be? Run out of cells
  • 22.
  • 23. Disadvantage: can’t explain the effect of context (Eysenck, 1993) old woman v.s. young lady B, R, P have similar prototype
  • 24. Top-down processing Word superiority effect Rat-Man demonstration
  • 28. The effect of context
  • 29. Summary Pattern Recognition Theories Template matching Feature analysis Prototype Central-tendency Attribute- frequency
  • 30. Summary Word superiority effect Rat-Man demonstration Pandemonium model Geons Top-down processing Bottom- up processing
  • 31. THE END