My code for Kaggle-MNIST competition.
| Preprocessing | none |
| Feature extraction | raw data |
| Normalization | L2 normalization |
| Classifier | Large Margin Component Analysis(LMCA)-based k-Nearest Neighbors |
| Result | 0.98100 |
| Preprocessing | 2px padding |
| Feature extraction | Rectangle Features |
| Normalization | Local standardization, ZCA Whitening, Global standardization |
| Classifier | 2-Layer NN (2048 hidden units, Softmax, Dropout) |
| Result | 0.98829 |