The goal of this project is to provide a comparative study between popular techniques such as PCA, ICA, and LDA, when using the SVM classifier. Labeled Faces in the Wild (LFW) dataset was used to develop and train the model.
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The goal of this project is to provide a comparative study between popular techniques such as PCA, ICA, and LDA, when using the SVM classifier. Labeled Faces in the Wild (LFW) dataset was used to develope and train the model.
robertandreibarbulescu/face_recognition
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The goal of this project is to provide a comparative study between popular techniques such as PCA, ICA, and LDA, when using the SVM classifier. Labeled Faces in the Wild (LFW) dataset was used to develope and train the model.
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