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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: 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.

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

13 Mar 2018: 0. 0.1. 0.2. 0.3. 0.4. 0.5. Test index. Rel. ativ. e re. ... The tests are shown in the order of increasing raw data performance foreasier visualization.

13 Mar 2018: The six test sets were created by randomly. 8 KIM et al.: GROWING A TREE FROM DECISION REGIONS OF A BOOSTING CLASSIFIER. ... Caltech bg datasetMPEG-7 f ace data. BANCA f ace set. MITCMU f ace test set.

13 Mar 2018: cluttered background, and background with skin colour). The overallaccuracyon 1025 test cases is 89.7%. ... Thepercentage of test cases that cannot be mapped into any classis 20.3%.

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.

13 Mar 2018: This is achieved by sampling the network with randomly droppedout units at test time. ... Table 3: Pascal VOC12 [9] test results evaluated from the online evaluation server.

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: High dimensional inputspace and a small training set often cause over-fitting of classifiers to the training data and poorgeneralization to new test data. ... 3. Nevertheless, the twointersection sets of the train and test sets are stillplaced in the

13 Mar 2018: M}. For a test image xt, the task is to predictyt A, i.e. ... The vali-dation set and the test set contain 2104 and 2967 imagesrespectively.

13 Mar 2018: Table 1: Comparing the average DNN output error on a test set on the various expressive subsets for three different experiments.Firstly, an experiment where all output layers are trained. ... all landmark points of all test samples is 4.4 pixels. TheRMS

13 Mar 2018: In [14], error is computed using a“leave-one-out” test rather than with completely new testdata. ... A leave-one-out test for gaze-tracking data with theS3GP gives an error of 0.68.

13 Mar 2018: Fig.5 shows example framesfrom the test sequences. 6. Conclusion. This paper proposed MCBQ, a multi-classifier boostingalgorithm with a soft partitioning of the input space. ... The plots show the tracking error over time on four test sequences for

13 Mar 2018: It seems that some form of single stage regressionmight be more powerful, both for dealing with the rangeof variation of test examples, and for correctly modellingstatistical variability. ... Forefficiency, this test is made only every M frames (in

13 Mar 2018: We capture six test scenes with the same five objects. Eachtest scene has 400 500 frames containing multiple objects with different back-grounds/clutter and poses.Scenario 4: This scenario tests ... Recall. Pre. cis. ion. LineModSupp. SIterative(Edge).

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: b) Humanbody segments from the baseline and Factored ConvNet (B and F) on example images from Unite thePeople S31 test set. ... a) YouTube Pose (b) Unite the People S31. Figure 7: Qualitative examples on Youtube Pose videos and Unite the people S31 test

13 Mar 2018: The class that exhibits the maximum frequency in the histogram is as-signed to the test video. ... The train/test split is around 50% and the videos arechosen as specified in [17].