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Pattern Recognition
- 1. PATTERN RECOGNITION Talal A. Alsubaie SFDA
- 9. GRID BY GRID COMPARISON Grid by Grid Comparison A A B
- 10. GRID BY GRID COMPARISON 0 0 1 0 0 0 1 0 0 1 1 1 1 0 0 1 1 0 0 1 No of Mismatch= 3 A A B 0 1 1 0 0 1 1 0 0 1 1 0 1 0 0 1 1 0 0 1
- 11. GRID BY GRID COMPARISON Grid by Grid Comparison A A B
- 12. GRID BY GRID COMPARISON 0 0 1 0 0 0 1 0 0 1 1 1 1 0 0 1 1 0 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 1 0 1 1 1 1 0 No of Mismatch= 9 A A B
- 18. PATTERN RECOGNITION PROCESS (CONT.) Post- processing Classification Feature Extraction Segmentation Sensing input Decision
- 22. CASE STUDY (CONT.) Classification Feature Extraction Pre-processing “ Sea Bass” “ Salmon”
- 26. FEATURE SELECTION “ Good” features “ Bad” features
- 28. DECISION BOUNDARY (CONT.) More complex model result more complex boundary
- 29. DECISION BOUNDARY (CONT.) Different criteria lead to different decision boundaries
- 33. THE DESIGN CYCLE
- 34. DEMO
- 38. VIDEO DEMO
- 39. Q & A
- 40. THANK YOU