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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.

8 Aug 2005: 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,

16 Nov 2007: 8.1.1 Training and Test Corpora 102. 8.1.2 System configurations 103. 8.2 Initial Experiments 106. ... ments. A summary of the history of NIST’s benchmark tests are given in [91].

9 Aug 2005: cast News Benchmark Test Evaluation, the general procedures used are described and previous. ... Test Evaluation, four sites (BBN, MITRE, SPRACH and SRI) participated and submitted their.

13 Mar 2018: 1.0} (1), and =0.07. |S |= 6 test scales were chosen automatically to cover the scale range in the trainingdata. ... Left: categorization performance. Middle: detectionperformance, with comparison to Opelt et al.

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.

16 Feb 2008: exponential of the cross entropy of the language model on the test set. ... using the posterior distribution with the goal of improving phrase coverage on test.

16 Nov 2007: representation 103. 6.5 Synchronous stream system with confidence weighting 107. 6.6 Results using GMM features on WSJ corpus and CSRNAB hub 1 test set 108. ... diagonal transforms 127. 8.4 Experiments using constrained MLLR transforms for WSJ test

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

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

20 Feb 2018: recognition error, because sometimes people change their ob-jective in the middle of a conversation. ... The corpuswas segmented into a “training sub-corpus” and a “test sub-corpus,” which are each composed of an equal number ofdialogs, the same

20 Oct 2010: 106. 7.6 Variation of posterior log probability of the correct alignment and AER ontraining and test data sets as training progresses, for Arabic to English. ... 107. 7.7 Variation of posterior log probability of the correct alignment and AER ontraining

13 Mar 2018: Copyright by SIAM. Unauthorized reproduction of this article is prohibited. SIAM J. IMAGING SCIENCES c 2016 Society for Industrial and Applied MathematicsVol. 9, No. 4, pp. 1858–1888. A Single-Lobe Photometric Stereo Approach for Heterogeneous

9 Jul 2008: 97. 8.2 Singlepass BN Mandarin baseline CER (%) results on the bnmdev06 test set. ... Threshold loss function with β = 0.25 on the dev03 andeval98 test sets.

7 Nov 2014: The drug is now considered a vital treatment for these women who are identifi ed on the basis of a pharmacogenetic test. ... Should pharmacogenetic tests be available over the counter or only in doctors’ surgeries?

11 Jul 2017: 121. 5.7 TED CD-DNN-HMM system 4-gram LM WERs on Dev2010, Tst2010,and Tst2011 test sets. ... Unsupervised test time adaptation experimentshave been conducted with hybrid, tandem, and stacked hybrid systems.

30 Mar 2007: We also recorded one additional scan of a speckle phantom, which was intendedto be more of a stress test for the reconstruction algorithms.

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: because highlights are very strong and localized, so just a simplesensor saturation test is enough to find them, i.e., highlight 254. ... The next experiment was designed to test thisimprovement by performing a light estimation over K imageswhere the