Time Series Classification on CMUSUBJECT16 (test)
100AccuracyGP-SIG-LSTM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GP-SIG-LSTM2019.06 | 100 | — | |
| GP-SIG-GRU2019.06 | 100 | — | |
| ARKERNEL2020.06 | 100 | — | |
| LPS2020.06 | 100 | — | |
| gRSF2020.06 | 100 | — | |
| mvARF2020.06 | 100 | — | |
| MUSE2020.06 | 100 | — | |
| MLSTMFCN2020.06 | 100 | — | |
| FCN128Backbone=FCN, Filter size=1282020.06 | 100 | — | |
| RESNETBackbone=ResNet2020.06 | 100 | — | |
| LS2T64Rank=642020.06 | 100 | — | |
| FCN64-LS2T64Backbone=FCN, Backbone Filter size=64, Rank=642020.06 | 100 | — | |
| FCN128-LS2T64Backbone=FCN, Backbone Filter size=128, Rank=642020.06 | 100 | — | |
| SMTS2020.06 | 99.7 | — | |
| GP-GRU2019.06 | 99.3 | — | |
| GP-SIG2019.06 | 97.9 | — | |
| DTW2020.06 | 93 | — | |
| GP-LSTM2019.06 | 92.4 | — | |
| GP-KCONV1D2019.06 | 89.7 | — | |
| GP-GRUH (hidden units)=32, D (signature depth)=12019.06 | — | 0.089 | |
| GP-KCONV1D2019.06 | — | 0.255 | |
| GP-LSTMH (hidden units)=32, D (signature depth)=12019.06 | — | 0.27 | |
| GP-SIG2019.06 | — | 0.089 | |
| GP-SIG-GRUH (hidden units)=32, D (signature depth)=12019.06 | — | 0.04 | |
| GP-SIG-LSTMH (hidden units)=32, D (signature depth)=12019.06 | — | 0.088 |