Kernel-Methods-Data-Challenge

This is the data challenge for the course Kernel Methods for Machine Learning of the MVA program.

We need to implement kernel method ourselves instead of using existing libraries, e.g. sklearn.

Name		Name	Last commit message	Last commit date
Latest commit History 148 Commits
articles		articles
.gitignore		.gitignore
README.md		README.md
bag_of_words.py		bag_of_words.py
cross_entropy_classifier.py		cross_entropy_classifier.py
ensemble.py		ensemble.py
feature_vector_projection.py		feature_vector_projection.py
fisher_feature_extractor.py		fisher_feature_extractor.py
fisher_vector.py		fisher_vector.py
gamma.py		gamma.py
gmm.py		gmm.py
hog_feature_extractor.py		hog_feature_extractor.py
image_utils.py		image_utils.py
kernel-methods-report-zmc.pdf		kernel-methods-report-zmc.pdf
kernel_descriptors_extractor.py		kernel_descriptors_extractor.py
kernel_pca.py		kernel_pca.py
kernels.py		kernels.py
keypoint.py		keypoint.py
kmeans.py		kmeans.py
load_features.py		load_features.py
main.py		main.py
neural_network.py		neural_network.py
pca.py		pca.py
plot.py		plot.py
quadratic_program_solver.py		quadratic_program_solver.py
sift.py		sift.py
sift_feature_extractor.py		sift_feature_extractor.py
svm.py		svm.py
utils.py		utils.py

zhengying-liu/Kernel-Methods-Data-Challenge