Name | Test accuracy | K | Distance | Features |
---|---|---|---|---|
LeNet-4 | 0.989 | |||
Batanina Liubov | 0.9884 | 9 | L1 | deskewing, deep learning features |
Krasikova Ekaterina | 0.9854 | 25 | L2 | deskewing, deep learning features |
Okunev Boris | 0.9844 | 6 | L2 | HOG (4x4 pixels in cell) |
Zinoviev Vladimir | 0.9824 | 3 | L2 | HOG |
K-nearest-neighbors | 0.982 | L2 | deskewing, noise removal, blurring | |
Panova Elena | 0.977 | 5 | L2 | low-frequency filter, rotation |
Kuznetsov Vladislav | 0.9743 | 4 | L2 | HOG |
Degtyarev Anton | 0.974 | 3 | L2 | HOG |
Rodionov Fedor | 0.9712 | 4 | L3 | Raw |
Panov Aleksandr | 0.9709 | 6 | L2 | Projection Histograms |
Senyaev Andrey | 0.9705 | 3 | L2 | HOG |
Kamelina Julia | 0.9705 | 3 | Cosine | Raw |
Protas Maria | 0.97 | 3 | L2 | HOG |
Romanov Alexander | 0.9691 | 1 | L2 | Raw |
Kuznetsov Konstantin | 0.969 | 7 | L2 | Raw |
Tarasov Oleg | 0.9682 | 4 | L2 | Raw |
Mayachkin Arseny | 0.9677 | 6 | L2 | Raw |
Usova Marina | 0.9653 | 6 | L2 | HOG |
Shkenev Petr | 0.9651 | 5 | L2 | HOG |
Daniil Roman | 0.9645 | 3 | L2 | HOG |
Gribov Pavel | 0.9642 | 4 | L2 | HOG |
Tarakanov Kirill | 0.9581 | 2 | L2 | HOG |
K-nearest-neighbors | 0.95 | L2 | Raw | |
Gladyshev Alexey | 0.9228 | 7 | L1 | HOG |
Name |
---|
Nechesanov Vladimir |
Ananiev Semyon |
Generalov Alexander |
Trifonov Alexander |
Shutina Svetlana |