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13 Mar 2018: test data. The descriptor should also be compact, even for. large data sets. ... divided into training and test sets. All basis vectors were. extracted from the training set.

13 Mar 2018: The test sequence(seefigure 8 ) consistsof a hollow unit cubewith textured imageson the back threefaces.This configurationwaschosenbecauseit hasa largehollow volumethathasto becarvedaway, and the exterior boundarygives no information aboutthe

13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning.

13 Mar 2018: Note that we make noassumptions on the nature of training or test data. ... The tests are shown in the order of increasing rawdata performance for easier visualization.

20 Feb 2018: The San Francisco Restaurants and Ho-. Dataset / Model Domain Train Test SlotsCambridge Rest.

20 Feb 2018: 4.2 Experimental results. A subjective listening test was performed to measure the ability to convey word-level emphasis. ... Apair-wise two-tailed Student’s t-test was performed to evaluate the statistical dif-ference of the average number of

13 Mar 2018: An implementation is outlined and demonstrated on test sequences con-taining two motions. ... The first example considerstwo frames from the “foreman” sequence, commonly used to test motion segmentationschemes.

13 Mar 2018: This is achieved by sampling the network withrandomly dropped out connections at test time. ... At test time we perform inference byaveraging stochastic samples from the dropout network.

20 Feb 2018: 4 Testbed spoken dialogue system To test the ideas in our proposal, we created a simulated dialogue management problem in the travel domain in which the user is trying to buy ... isn’t shown here. 5 Testbed evaluation. 5.1 Comparison with an MDP

15 Jun 2018: Table 1: PTB perplexity. Table 1 shows consistent perplexity deductions from theAMN model on PTB, with a relative test perplexity decreaseof roughly 25% compared with the best performing baselines(GRU and

13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning.

3 Jul 2018: To test the influence of the user addressing therelation instead of the correct value (e.g., ”restau-rant in the same area as the hotel” vs. ... All results are computed after 4,000/1,000 train/test dialogues and averaged over 5trials with different

13 Mar 2018: The validation set and the test set con-tain 2104 and 2967 images respectively. ... While each train-ing image is annotated with only one class label, the test.

20 Feb 2018: An agenda-based user simulator was developed[7] and a simulated error channel using random substitution, dele-tion, and insertion errors was used to test robustness.

13 Mar 2018: RESULTS AND DISCUSSIONSAccuracy test Fig. 6 reproduces the quantitative results ofthe tests on Seq 1, 2 & 3. ... The comparable test accuracy to training under ground truth provides support for trainingclassifiers using the proposed methods.

13 Mar 2018: This is challengingacross large pose variations, such as those contained in our test set. ... J. Micheals, D. M. Blackburn, E. Tabassi, and M. Bone. Face recognition vendor test.

13 Mar 2018: 3(a,iii) and (a,iv) for examples). Set 1 images areannotated and used for training our system, while Set 2 and 3 images are for testing purpose.Tests on Frontal ... Volunteers were invited to test our virtual fitting-room software online and then fill in

13 Mar 2018: As closely as pos-sible, we use the same training and test sets. ... We test each class individually, pairedwith an equal number of background test images.

20 Feb 2018: There were two test sets: a matched set of 1K dialogues generated at SER15% (testA) and a larger set containing 3K dialogues at each of four SERs:0%, 15%, 30%, and ... 45% (testB) where the latter provides an indication ofhow models perform when there is

13 Mar 2018:  . . Fig. 4: SVM