# Convolutional Neural Network with an Elastic Matching Mechanism for Time Series Classification
## 4 Experiments
### Evaluation on the UCR Archive
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Dataset** & **FCN** & **EM-FCN** & **ResNet** & **EM-ResNet** & **Inception** & **EM-Inception** \\ \hline Adiac & 0.8414 & **0.8517** & 0.8332 & 0.8159 & 0.8312 & 0.8261 \\ ArrowHead & 0.8434 & **0.8743** & 0.8377 & 0.8160 & 0.8229 & 0.8457 \\ Beef & 0.6800 & **0.8667** & 0.7533 & 0.8533 & 0.6667 & **0.8667** \\ BeetlerFly & **0.9100** & 0.8500 & 0.8500 & 0.8700 & 0.7500 & 0.8500 \\ BirdChicken & 0.9400 & **1.0000** & 0.8800 & 0.9000 & 0.9500 & 0.9500 \\ Car & 0.9133 & **0.9333** & 0.9167 & 0.9266 & 0.8667 & **0.9333** \\ CBF & 0.9938 & 0.9911 & 0.9958 & 0.9989 & 0.9944 & **1.0000** \\ ChlorineConcentration & 0.8165 & 0.8237 & 0.8528 & 0.8411 & 0.8596 & **0.8898** \\ CinCECG Torso & 0.8288 & **0.9087** & 0.8378 & 0.8043 & 0.8645 & 0.8159 \\ Coffee & **1.0000** & **1.0000** & **1.0000** & **1.0000** & **1.0000** & **1.0000** \\ Computers & **0.8192** & 0.8000 & 0.8056 & 0.8080 & 0.7800 & 0.7560 \\ CricketX & 0.7944 & 0.7641 & 0.7990 & 0.7974 & 0.8282 & **0.8436** \\ CricketY & 0.7928 & 0.7667 & 0.8103 & 0.8359 & 0.8410 & **0.8513** \\ CricketZ & 0.8097 & 0.7538 & 0.8087 & 0.8205 & 0.8333 & **0.8692** \\ DiatomSizeReduction & 0.3464 & 0.5098 & 0.9510 & **0.9641** & 0.9314 & 0.9575 \\ DistalPhalanxOutlineAgeGroup & 0.7180 & 0.7122 & 0.7180 & 0.7410 & **0.7482** & 0.7410 \\ DistalPhalanxOutlineCorrect & 0.7601 & 0.7464 & 0.7703 & 0.7391 & **0.7790** & 0.7645 \\ DistalPhalanxTW & **0.6950** & 0.6691 & 0.6633 & 0.6403 & 0.6691 & 0.6403 \\ Earthqu & 0.7252 & **0.7410** & 0.7122 & 0.7194 & 0.7266 & 0.6906 \\ ECG200 & 0.8880 & 0.8800 & 0.8740 & 0.8400 & **0.9200** & 0.9100 \\ ECG500 & 0.9400 & 0.9387 & 0.9351 & 0.9418 & 0.9369 & **0.9438** \\ ECGFiveDays & 0.9854 & 0.9779 & 0.9663 & 0.9733 & **1.0000** & **1.0000** \\ ElectricDevices & 0.7065 & 0.7231 & 0.7279 & **0.7283** & 0.7021 & 0.7081 \\ FaceAll & 0.9375 & 0.9331 & 0.8667 & **0.9497** & 0.7964 & 0.8231 \\ FaceFour & 0.9295 & 0.8636 & 0.9545 & 0.9318 & 0.9545 & **0.9659** \\ FacesUCR & 0.9434 & 0.9390 & 0.9542 & 0.9478 & 0.9634 & **0.9654** \\ FiftyWords & 0.6457 & 0.6813 & 0.7402 & 0.7495 & 0.8044 & **0.8462** \\ Fish & 0.9611 & 0.9771 & 0.9806 & **0.9943** & 0.9829 & 0.9714 \\ FordA & 0.9141 & **0.9705** & 0.9370 & 0.9356 & 0.9553 & 0.9545 \\ FordB & 0.7723 & 0.7914 & 0.8131 & 0.8074 & **0.8679** & 0.8630 \\ GunPoint & **1.0000** & **1.0000** & 0.9907 & **1.0000** & **1.0000** & **1.0000** \\ Ham & 0.7067 & 0.7238 & 0.7581 & 0.7500 & 0.7238 & **0.7810** \\ HandOutlines & 0.7989 & 0.6486 & 0.9135 & 0.9297 & **0.9459** & 0.9351 \\ Haptics & 0.4896 & 0.5325 & 0.5097 & 0.5584 & **0.5649** & 0.5325 \\ Herring & 0.6438 & 0.5938 & 0.6000 & 0.6250 & **0.6719** & 0.5781 \\ InlineSkate & 0.3316 & **0.5055** & 0.3771 & 0.3982 & 0.4655 & 0.4855 \\ InsectWingbeSound & 0.3919 & 0.3859 & 0.4993 & 0.5455 & 0.6328 & **0.6409** \\ ItalyPowerDemand & 0.9629 & 0.9602 & 0.9615 & 0.9602 & 0.9553 & **0.9689** \\ LargeKitchenAppliance & 0.9029 & 0.8987 & 0.9013 & 0.9013 & 0.9040 & **0.9067** \\ Lightning2 & 0.7344 & 0.7213 & 0.7803 & 0.7377 & 0.8033 & **0.868