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IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B:…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2006-SMC-localisation.pdf13 Mar 2018: Using the later index,Test-C tests Sequence-I, Test-D tests Sequence-II. The correctratios of the coarse localization are shown in Fig. ... Fig. 9. Layout of the outdoor environment in a campus. Test-E tests Sequence-III. -
Multiscale Categorical Object RecognitionUsing Contour Fragments…
mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-contour-recognition.pdf13 Mar 2018: 9. Adding more parts helps performance on the test data up to a. ... effect on the RP EER (up to 100N percent for N test images). -
Face Recognition with Image Sets Using Manifold Density Divergence ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-CVPR-Arandjelovic-divergence.pdf13 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. -
Emotion Conversion using F0 Segment Selection Zeynep Inanoglu, Steve…
mi.eng.cam.ac.uk/~sjy/papers/inyo08.pdf20 Feb 2018: 5. Perceptual EvaluationA direct comparison between F0 conversion methods was facil-itated using a three-way preference test. ... The same test was then conducted using converted neutralutterances generated by our conversion system. -
williams2006POMDPsForSDSs-manuscript
mi.eng.cam.ac.uk/~sjy/papers/wiyo07.pdf20 Feb 2018: Partially Observable Markov Decision Processes for Spoken Dialog Systems. Jason D. Williams1 Steve Young AT&T Labs – Research Cambridge University. Engineering Department. Abstract. In a spoken dialog system, determining which action a machine -
Continuously Learning Neural Dialogue Management
mi.eng.cam.ac.uk/~sjy/papers/sgmr16.pdf20 Feb 2018: Table 1 shows the weighted F-1 scores computedon the test set for each label. -
ICSLPDataCollection-10
mi.eng.cam.ac.uk/~sjy/papers/wiyo04b.pdf20 Feb 2018: Thanks to Karl Weilheimer and Matt Stuttle for their assistance with the tests and for helpful comments on transcription conventions. -
1 SegNet: A Deep ConvolutionalEncoder-Decoder Architecture for Scene…
mi.eng.cam.ac.uk/~cipolla/publications/article/2016-PAMI-SegNet.pdf13 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. -
STENT et al.: DETECTING CHANGE FOR MULTI-VIEW SURFACE INSPECTION ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-BMVC-change-detection.pdf13 Mar 2018: This requires a limited effort incoarsely labelling a small subset of the test data. ... 6.1 Quantitative EvaluationFig. 5 illustrates change detection performance over the two test datasets. -
A New Look at Filtering Techniques for Illumination Invariance ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-AFGR-Arandjelovic-filtering.pdf13 Mar 2018: State-of-the-art commercial system FaceIt by Identix[12] (the best performing software in the most recentFace Recognition Vendor Test [13]),. • ... KLD) [14]. In all tests, both training data for each person in the gallery,as well as test data, -
Counter-fitting Word Vectors to Linguistic Constraints Nikola…
mi.eng.cam.ac.uk/~sjy/papers/motg16.pdf20 Feb 2018: Dataset Train Dev Test #SlotsRestaurants 1612 506 1117 4. Tourist Information 1600 439 225 9Table 5: Number of dialogues in the dataset splits usedfor the Dialogue State Tracking experiments. -
Evaluating semantic-level confidence scores with multiple hypotheses…
mi.eng.cam.ac.uk/~sjy/papers/tygk08.pdf20 Feb 2018: NCE is thus a suitable metricfor evaluating the accuracy of probability estimates given a setof hypotheses, but it does not necessarily test the overall cor-rectness of the output. -
Stochastic Language Generation in Dialogueusing Factored Language…
mi.eng.cam.ac.uk/~sjy/papers/mayo14.pdf20 Feb 2018: occur simultaneously in the training and test partitions. In contrast, in our evaluation. -
Incremental Learning of Locally OrthogonalSubspaces for Set-based…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-BMCV-Kim-incremental.pdf13 Mar 2018: Iden. tific. atio. n ra. te. Effect of the dimension on the test set. ... Anindependent illumination set with both training and test sets was exploited for the val-idation. -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-IVC-Stenger.pdf13 Mar 2018: The parameters for both methods are setby testing the classification performance on a test setof 5000 images. ... In a first approach,the edge and colour cost terms are computed for a numberof test images. -
Template.dvi
mi.eng.cam.ac.uk/~ar527/chen_asru2017.pdf15 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 -
Understanding Real World Indoor Scenes With Synthetic Data Ankur ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-CVPR-3D-synthetic-data.pdf13 Mar 2018: We also used dropout at test time [13] but observed verysimilar performance gain without it. ... However, dropout at. test time [13] makes the network robust to out-of-domaindata. -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf13 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. -
Learning to Track with Multiple Observers Björn StengerComputer…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-CVPR-hand-tracking.pdf13 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 -
Boosted Manifold Principal Angles for Image Set-Based Recognition…
mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PR-Kim.pdf13 Mar 2018: single other – we used 9 randomly selected training/test combinations, see Figure 7. ... places low demands on storage space. 17. Table 2Evaluation results:The mean recognition rate and its standard deviation across differenttraining/test illuminations
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