Data challenge for the course "machine learning with kernel methods"
This code reimplements the following papers in Python and Cython:
Mairal, Julien and Koniusz, Piotr and Harchaoui, Zaid and Schmid, Cordelia. Convolutional kernel networks. NIPS 2014.
Mairal, Julien. End-to-end kernel learning with supervised convolutional kernel networks. NIPS 2016.
Hsieh, Cho-Jui and Chang, Kai-Wei and Lin, Chih-Jen and Keerthi, S Sathiya and Sundararajan, Sellamanickam. A dual coordinate descent method for large-scale linear SVM. Proceedings of the 25th international conference on Machine learning. ACM, 2008.
pip install -r requirements.txt
make
python start.py