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13 Mar 2018: Our test-frames, code for evaluating them, and per-frame scores areonline, with the aim of encouraging more meaningfulalgorithm comparisons, when possible. ... 7.2 Qualitative Tests of Cloth and Face. For the third experiment shown here, a model wearing

26 Apr 2000: distance. This makes the complete test for distance initialisation as follows:. • If the voxel is not initialised, store the new distance and angle. • ... In all butthe most complex cases, both of these can be recalculated in real time, providing

13 Mar 2018: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated

13 Mar 2018: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated

13 Mar 2018: NN classification by sum of selected canonicalcorrelations is performed to categorize a new test video. ... middle, bottom rows, respectively. Fig. 9. Confusion matrix of the TCCA method for hand gesture.

13 Mar 2018: Test-ing was performed on 164 images containing 193 cars,and164 background images. ... Our technique relies on edge features andhigher-resolution training and test images would certainlyimprove results.

13 Mar 2018: avoid bias), resulting in a total of 600 pairwise compar-isons per preference test. ... Scores shown as percentages of all votes for: (left) all emotions, (middle)neutral, and (right) angry.

13 Mar 2018: These meth-ods have achieved very good accuracy on a small number ofcontrolled test sets. ... We therefore useDKL(p(0)||p(i)) as a “distance measure” between trainingand test sets.

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.

11 Sep 2019: How-ever, these are not feed-forward at test time and requireoptimization to determine the MAP labels. ... We report all the threemeasures of performance at this point on the held-out Cam-Vid test set.

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.

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.

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

13 Nov 2008: lines samples) l/5 26 102 26 115L1 search region (top, A-lines samples) l/5 l/30 30 120 30 135L1 search region (middle, A-lines samples) l/5 ... After each test, theestimated axial displacement field was compared with the known ground truth and the

29 Jan 2004: For the evaluation, 1200test utterances (feb89, oct89, feb91, sep92), test, and a randomly selected 300 utterance subsetof the training data, train, were used. ... Thisdoes not seem to be the case in the two component systems where the test set

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: 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: Illumination conditions were mildly different in training and test sequences,see Figures 8 and 9. ... 9] B. Kepenekci, Face recognition using gabor wavelet transform., Ph.D. thesis,The Middle East Technical University (2001).

13 Mar 2018: This is illustrated in Fig.2, showing examplesof image regions around thehand taken from the test sequences. ... Exampleframes where transitions occur areshown below (first and third pair from NCC to CM due to motion blur, middle pair from CM to NCCvia

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: to test our hypothesis. Therefore the problem of detecting. shadows becomes more difficult. ... The shading regularization scheme shows a smooth surface. (Fig. 5 middle) while the shape regularization scheme (Fig.

13 Mar 2018: 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.

13 Mar 2018: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of ... 10] B. Kepenekci. Face Recognition Using Gabor Wavelet Transform.PhD thesis,

28 Jul 2009: 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: InAFR tests, such methods are usually outperformed by methodsfrom the third class: view-based techniques e.g. ... These were used for neither gallery data nor test inputfor the evaluation reported in this section.

12 Aug 2019: Average 62.8 64.4 69.5. Table 1: Accuracy of OJA onBADJA test sequences. ... Middle: Themodel has never seen an elephant, so assumes the trunk is the tail.

9 Apr 2022: performs realistic computation of global illumination ef-fects. The first dataset is Cycles-PS-Test [16] containing 3objects. ... For completeness, we also in-clude the results after applying the test time rotation pseudo-invariance augmentation (K=10).

12 May 2003: 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.

17 Feb 2006: 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.

13 Mar 2018: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated

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: Table 1:Quantitative test results withµ = 0.25. Note the high accuracies for PHM for Seq. ... Ex-tensive quantitative tests indicate the efficacy of our approach over generative propagationalone.

13 Mar 2018: Secondly, in order to test the reliability ofour approach, we considered synthetic data generated withthe Cook and Torrance reflection model [12]. ... Figure 5. Darkest (Left) and brightest (middle) samples of our realdatasets and the computed albedos

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.

11 Feb 2015: The ellipse in the middle, in purple,stands for the gold-standard transcriptions, which are unavailable.Anything outside of this ellipse is incorrect. ... It consists ofrecorded proficiency tests for English. The recording quality variesgreatly.

31 Aug 2019: Table 1. Impact of band mismatch on unsupervised training. data. The middle line shows its performance on a down-sampled setof wide-band data containing news and topical broadcasts. ... The. Language Test set Error (%)Sub Del Ins Tot. Georgian dev 26.7 10

7 Oct 2011: Speech recognition signalsX Training dataY Test dataU Hidden variablesy Observation feature vectorx Clean speechn Additive noiseh Convolutional noiseα Phase factorβ Power of spectrums Static feature vector, 2 Vectors with rst- and ... in the test data.

13 Mar 2018: A regionlabeling can be produced from an edge labeling, butambiguities may still be present—specifically, a singleregion in the middle of a foreground object may be a holethrough to the background, ... A sample of the 34 test sequences and their

28 Jul 2009: 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

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

28 Jun 2021: Table 3: Average length and width errors (mm) on real val/test data. ... Pool at test timePredicted segmentation Hand segmentationLength error Width error Length error Width error.

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: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated

28 Jul 2009: 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