Face Recognition Classification using ML methods: Bayes Classifier, KNN, Kernel SVM, Boosted SVM, PCA and MDA
- Task 1: For dataset DATA(200 classes), POSE(68 classes) and ILLUMINATION(68 classes), identify the person(class) from each dataset.
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- Use KNN and Bayes classifier.
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- Task 2: For dataset DATA(2 classes, 400 samples) classify neutral vs expression.
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- Kernel SVM, Boosted SVM, KNN, Bayes Classifier
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