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Tracking Using Online Feature Selectionand a Local Generative Model…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-BMVC-Woodley.pdf13 Mar 2018: We perform the adapted online feature selection algorithm (see Alg. 1) on a numberof test sequences. ... We take a single test image, and create a test sequence by adding fixed size, randomlypositioned black squares to simulate occlusion. -
A DATA-DRIVEN SPOKEN LANGUAGE UNDERSTANDING SYSTEM Yulan He Steve ...
mi.eng.cam.ac.uk/~sjy/papers/heyo03b.pdf20 Feb 2018: class-based trigram 4.8 3.4. Table 1. Test results for the speech recognizer (%WER). ... Forthe NL test, the semantic parser used as input the reference tran-scriptions instead of the recognized output. -
Learning Discriminative Canonical Correlationsfor Object Recognition…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ECCV-Kim-imagesets.pdf13 Mar 2018: We used 18randomly selected training/test combinations for reporting identification rates. Comparative Methods. ... 0.9. 1. Dimension. Iden. tific. atio. n ra. te. Effect of the dimension on the test set. -
JOINT MODELLING OF VOICING LABEL AND CONTINUOUS F0 FOR ...
mi.eng.cam.ac.uk/~sjy/papers/yuyo11a.pdf20 Feb 2018: For the test material 30 sentences from a tourist information en-quiry application were used. ... JVF IVF. Fig. 2. Comparison between CF-IVF and CF-JVF on a forced choicepreference test. -
The Linear Transformation of LF Glottal Waveforms for Voice ...
mi.eng.cam.ac.uk/~sjy/papers/poyo08b20 Feb 2018: Figure 6: Results of the ABX test. between each source and target speaker pair. ... perc. enta. ge. PSHM. JEAS. MM MF FM FF. PSHMJEAS. Figure 7: Results of the quality comparison test. -
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-MVA-…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-MVA-Conde.pdf13 Mar 2018: 418. 2. DATA ACQUISITION SETUP In order to develop the tests here exposed, a set of 3D facial data have been acquired. ... The processing time was shorter than ten seconds even for the worst situation met during test step. -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/~cipolla/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. -
A New Look at Filtering Techniques for Illumination Invariance ...
mi.eng.cam.ac.uk/~cipolla/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, -
91_20090306_170604
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-MVA-Mavaddat.pdf13 Mar 2018: The model can now be used to classify test imagepatches as text or non-text. ... The test patches were ex-tracted in the same manner as the training patches. -
Incremental Learning of Locally OrthogonalSubspaces for Set-based…
mi.eng.cam.ac.uk/~cipolla/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.
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