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13 Mar 2018: 2. Fig. 1. SegNet predictions on urban and highway scene test samples from the wild. ... 1). Some example test resultsproduced on randomly sampled road scene images from Googleare shown in Fig.

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.

13 Mar 2018: Top and middle row: model pro-jected on images from camera 1 and 2, respectively. ... 4. Experimental Results. Real data experiments were designed to test the proposedtracking algorithm.

13 Mar 2018: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence.

13 Mar 2018: revealed (note the reconstructed surface cracks in the middle of the figurine’s back). ... of 0.41 degrees. estimates. The next experiment was designed to test this improvement by performing a light.

14 Sep 2006: Our work can be seen as a type of middle ground be-tween the domains of motion segmentation and multi-bodyfactorization. ... These would in turn preventthe “spawning” of new entity hypotheses in the middle ofthe scene.

27 Oct 2015: clean test data. For the CAT system, cluster weights are estimated at the. ... with actual test data. Adaptation techniques have been used to quickly adapt ASR systems.

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.

17 Sep 2008: JUD compensation parameters are derived from the joint distribution betweenthe training and test conditions. ... 1289.6 Utterance length mean and standard deviation in TREL-CRL04 test sets.

13 Mar 2018: Point correspondences betweentwo shapesare found by minimizing the point matchingcosts,which is the test statistic for histograms. ... 7. Figure 5: Results of hand localization. Left column: handlocalization usingshapecontext informationonly