https://github.com/cosmojelly/face-recognition-algorithms-analysis
Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.
https://github.com/cosmojelly/face-recognition-algorithms-analysis
gaussian-naive-bayes-implementation knn-algorithm svm-model
Last synced: about 2 months ago
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Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.
- Host: GitHub
- URL: https://github.com/cosmojelly/face-recognition-algorithms-analysis
- Owner: CosmoJelly
- Created: 2024-05-10T10:05:02.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-10T10:15:46.000Z (about 1 year ago)
- Last Synced: 2025-02-16T08:17:07.460Z (4 months ago)
- Topics: gaussian-naive-bayes-implementation, knn-algorithm, svm-model
- Language: Jupyter Notebook
- Homepage:
- Size: 2.26 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Face-Recognition-Algorithms-Analysis
Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.