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BARLEY SEEDS CLASSIFICATION

IMAN SAUDY UMUT O G UR NORBERT KISS GEORGE TEPES-NICA. BARLEY SEEDS CLASSIFICATION. CONTENTS. Introduction What is SVM ? SVM Applications Text Categorization Face Detection The Approach About the Program Test results Conclusions. INTRODUCTION. Barley seeds image

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BARLEY SEEDS CLASSIFICATION

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  1. IMAN SAUDY UMUT OGUR NORBERT KISS GEORGE TEPES-NICA BARLEY SEEDS CLASSIFICATION

  2. CONTENTS • Introduction • What is SVM? • SVM Applications • Text Categorization • Face Detection • The Approach • About the Program • Test results • Conclusions

  3. INTRODUCTION • Barley seeds image • Design a classifier • Classes and statistical results

  4. Linear algorithm in a high-dimensional space WHAT IS SVM?

  5. WHAT IS SVM? A separable classification toy problem

  6. WHAT IS SVM? • Dot product • Polynomial Kernel • RBF Kernel • Sigmoid Kernel

  7. WHAT IS SVM? An Example Classifier Using RBF Kernel

  8. ADVANTAGES • Although it constructs models that are complex, it is simple enough to be analyzed mathematically • It can lead to high performances in practical applications

  9. SVM APPLICATIONS • Text Categorization • An Example – Reuters 12,902 Reuters stories, 118 categories 75% to build classifiers 25% to test

  10. SVM APPLICATIONS • Face Detection • MRI • OCR

  11. THE APPROACH • Take several images for training (positive/negative) • Tresholding to separate the seed from background • Scale them and sub sample them to minimize the size of the vectors • Feed them to the learning machine  model/classifier

  12. ABOUT THE PROGRAM • Consists of two modules: for training for testing

  13. TEST RESULTS training set: 28p – 23n errors: pos. images recognized as neg. 2-4% neg. images recognized as pos. 1-2%  training set: 43p – 44n errors: pos. images recognized as neg. 0% neg. images recognized as pos. 0%

  14. CONCLUSIONS • SVMs are a good choice for binary classification (see results in this case) • They can be used no matter what one may want to classify (faces, seeds, etc.) • For in-depth assistance join us for a beer tonight !!!

  15. Team B THANK YOU

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