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20 Feb 2018: Reducingthenumber of system components leads to a simpler architecturethat iseasier to implement and test. ... Table 4. Analysis of detected speech segments using V2 and A2models on noisy test setGM2b.

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: Contrasts marked are statisticallysignificant (p < 0.05) using a Kruskal-Wallis rank sum test. ... Test System Num Objective Success Rate Perceived Average WERDialogs Partial Full Success Rate Turns.

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: 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: The environment T in a training dia-logue might be different from that of the test dialogues, and thuswe computed a maximum-entropy randomised policy in the testenvironments given the learnt ... In future work, theIRL reward function will be integrated

20 Feb 2018: Table 3Percent of unseen contexts in the test data. Number of matching features. ... Noduration modification was applied for this test. Twenty subjects participated in the evaluation.

12 Sep 2018: computed over all the test sectionswhere the candidate is required to produce spontaneousspeech. ... xN}, what is the best estimate of thevalue of the function at test point x.

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 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: The regions are represented by the boolean table and theboolean expression is minimised (middle). ... Caltech bg datasetMPEG-7 f ace data. BANCA f ace set. MITCMU f ace test set.

20 Feb 2018: The training data con-tains 2207 dialogues and the test set consistsof 1117 dialogues. ... For goals, the gains are always statis-tically significant (paired t-test, p < 0.05).

13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.

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: The regions are represented by the boolean table and theboolean expression is minimised (middle). ... Caltech bg datasetMPEG-7 f ace data. BANCA f ace set. MITCMU f ace test set.

13 Mar 2018: This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting. ... Train and test im-ages are taken from distinct walking paths and not sampledfrom the same trajectory making the regression

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

13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.

20 Feb 2018: policy. In the regions of belief space close to the corners (where certainty is high), the policy chooses doSave or doDelete; in the middle of belief space (where certainty is low)