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20 Feb 2018: Table 1 shows the weighted F-1 scores computedon the test set for each label.

20 Feb 2018: Thanks to Karl Weilheimer and Matt Stuttle for their assistance with the tests and for helpful comments on transcription conventions.

13 Mar 2018: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking

13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.

13 Mar 2018: single other – we used 9 randomly selected training/test combinations, see Figure 7. ... places low demands on storage space. 17. Table 2Evaluation results:The mean recognition rate and its standard deviation across differenttraining/test illuminations

13 Mar 2018: test time, the image is extended toensure a smooth estimate of the semantic textons near theborder. ... Figure 6. MSRC segmentation results. Above: Segmentations on test images using semantic texton forests.

20 Feb 2018: Dataset Train Dev Test #SlotsRestaurants 1612 506 1117 4. Tourist Information 1600 439 225 9Table 5: Number of dialogues in the dataset splits usedfor the Dialogue State Tracking experiments.

13 Mar 2018: We test the performance of SegNet on outdoorRGB scenes from CamVid, KITTI and indoor scenes fromthe NYU dataset. ... Features based on appearance[32], SfM and appearance [2, 36, 20] have been explored forthe CamVid test.

15 Jun 2018: Thisconsists of about 1M words of acoustic transcription. Eightmeetingswere excluded from the training set and used as the developmentand test sets. ... Confusion network decoding canbe ap-plied on the rescored lattices and additional 0.3-0.4% WER

13 Mar 2018: Quantitative test was done on unsegmented KTH datasetusing the classifiers learnt in the previous experiment. ... In test set-up, we used unsegmentedKTH data for incremental training (i.e.