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He has authored and co-authored more than 200 papers.

12 Sep 2022: to rims # similarity registration canonical_mc3_6756_lmarked.ply individual.ply n/a n/a 0 0 0 999 0 200 1 1 -1 0 0 1 0 # similarityTPS registration ... n/a n/a 0 0 0 999 0 200 10 0 -1 0 1 1 0 # map canonical_mc3_6756_lmarked.ply individual.ply n/a

12 Sep 2022: 2 = to rims # register lr_femur.wrl hr_femur.wrl n/a n/a 0 0 0 999 0 200 1 1 -1 0 0 0 0 # review lr_femur.wrl ... It performs 200 iterations in "review" mode, whereby the surfaces are loaded and spun around for the user to inspect.

A value of 200 will sample at twice this density, which should always be sufficient.

13 Mar 2018: li’. 0 200 400 600 800 1000 1200 1400 1600 1800 2000!10! ... 0 200 400 600 800 1000 1200 1400 1600 1800 2000!10!

14 Aug 2000: BRF is run on the parallel collection adding the best 200 new terms taken from the top 10 documents to the original document with a term frequency equal to 1.

20 Feb 2018: Bearing in mind that the initial parts of. 1The performance deteriorated after 200 dialogues due to an in-crease in speech understanding errors. ... Table 2: Word error rate for different domainsDomain #Adaptation diags #Diags WERSFCore 200 399 15SF1Ext

23 Feb 2002: s1. -. -. 12. 26. 59.11. 57.14. 54.04. 50.65. s1. 200. ... 10. -. -. 50.76. 49.42. 52.91. 51.67. s1. 200. 10. 8.

20 Feb 2018: 0. 50. 100. 150. 200. 1 2 3 4 5 6 7 8 9 10 11 12. ... basis. 0. 50. 100. 150. 200. 1 5 9 13 17 21 25 29 33.

12 Sep 2022: 2 = to rims # aspect ratio registration canonical_femur_5580.wrl individual.wrl n/a n/a 1 0 0 999 0 200 7 1 -1 0 0 1 0 # similarityLAD registration ... It performs 200 iterations in "review" mode, whereby the surfaces are loaded and spun around for the

28 Apr 2005: Error Analysis. c.200 DEL errors analysed by hand:. • 40.7 %: before asyndetic clause boundaryEx: they destroyed all the national monuments () he destroyed a large area. • ... c.200 INS errors analysed by hand:. • 26.2 %: before potential

10 Dec 2003: 0. 0.5. 1. 1.5. 2. 0 200 400 600 800 1000. % ... 0. 0.2. 0.4. 0.6. 0.8. 1. 1.2. 1.4. 1.6. 0 200 400 600 800 1000.

7 Oct 2023: mark edges. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... Ker. nel. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

19 Jul 2006: Gaussianise the data for each speaker:. 20 15 10 5 0 5 10 15 200. ... 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. 0.07. 0.08. 0.09. 0.1. 20 15 10 5 0 5 10 15 200.

12 May 2016: A1 A2 B1 B2. 0. 200. 400. 600. 800. 1000. 0 2 4 6 8 10 12 14 16. ... System HL-dim Training Data. % Error. KNN - SUP 20.8 RNNLM 100 17.5 RNNLM 200 Semi-SUP 9.3.

14 May 2018: mark edges. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... Ker. nel. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

13 Mar 2018: Images 1 and 5200 0 200. 400. 200. 0. 200. Images 2 and 3. ... 200. Images 4 and 5. Figure8: Imagesof the ellipsesandepipolarlines after convergence.Eachfigure showsthe overlappingof images and , for -GP& 555 # and ¤@@P 555.

13 Mar 2018: 000000. 0"/20. 0. 00#$0. =. 0. $#$0000. 00. ( not! )0#"/200.

18 May 2017: mark edges. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... Ker. nel. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

27 Aug 2008: Horse detection. ROC curve - 3.4% EER. 100 training images. 200 test images.

13 Mar 2018: Relative motion of an apparent contour. 118. a. 200-. 150-. 100 -. so •. yS S 50. y S > S 100 •. R/inm / B. / / / A. position error/mm. bB. A. - ... aMO -. 200. 150 •. 100. -2.5 -2.0. 1.5 -1.0 -OS.

30 Mar 2000: Postscript Version : Proc. TREC-7, NIST SP 500-242, pp. 191-200 (July 1999). ... Misrecognising every word will in practise give a TER of below 200% as the word ordering is unimportant, so some recognition errors will cancel out.

23 Mar 2004: Key Issues: 2004 Data. • New data planned for collection in 2004 includes– more Fisher English CTS data– 200 hours of Levantine Arabic CTS data– 200 hours of Mandarin CTS data– English

21 Feb 2022: Speaking Time Versus Learner Progression. 0. 100. 200. 300. 400. 500.

20 Feb 2018: 0 200 400 600 800. 50. 55. 60. 65. In-domain InitialisationOut-of-domain Initialisation. ... 0 200 400 600 800. 40. 60. 80. In-domain InitialisationOut-of-domain Initialisation.

13 Mar 2018: 50 100 150 200 250 300 350. 50. 100. 150. 200. ... 200. 250. Figure 3. Examples of the covariances in image 2, for inliersto two motion hypotheses.

13 Mar 2018: 000000. 0"/20. 0. 00#$0. =. 0. $#$0000. 00. ( not! )0#"/200.

12 May 2016: 0 200 400 600 800 1000 12000. 0.1. 0.2. 0.3. 0.4.

25 May 2004: Gaussianisation. • Transform any distribution to standard Gaussian N(0, I). 20 15 10 5 0 5 10 15 200. ... 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. 0.07. 0.08. 0.09. 0.1. 20 15 10 5 0 5 10 15 200.

21 Sep 2006: Furthermore, since the size of the ROIs may vary from one videoto the other, the final MGO images are resized to the corresponding refined images withstandard size (which is 200 200 ... 3.2 Dimension Reduction by PCA. In order to reduce the number of

12 May 2016: Speaking Time Versus Learner Progression. 0. 100. 200. 300. 400. 500.

14 Sep 2005: Here it is set to 640 pixels. 0 200 400 600 800 10000. ... 50. 100. 150. 200. 250. position. inte. nsi. ty. Maximalgradient ramp5.

8 Aug 2005: 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. ... 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x. p(x).

20 Feb 2018: 4. -2. 0. 2. 4. 6. 8. 10. 12. 14. 0 200 400 600 800 1000.

20 Feb 2018: As training data, the LEGO corpus [28] is used which con-sists of 200 dialogues (4,885 turns) from the Let’s Go bus infor-mation system [29]. ... Each turnof these 200 dialogues has been annotated with IQ (represent-ing the quality of the dialogue up

20 Feb 2018: 100 200 300 400 500 600 700 8000. 50. 100. 150. ... 200. 250. 300. Time index (ms) of "And then". F0. extr.

Computer Vision and Image Understanding, 148:193-200, July 2016. K Chaiyasarn, TK Kim, F Viola, R Cipolla and K Soga.

20 Feb 2018: 2. 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000.

10 Aug 1999: 100. 150. 200. 250. 300. 350. 400. a)0 100 200 300 400. ... 0. 50. 100. 150. 200. 250. 300. 350. 400. b). Figure 3: Transfer of points and lines.

8 Aug 2005: Figure 2:Parallax used to cluster input face images (a). The distributions ofη (1) for the three clusters, computedfrom 200 manually labelled frames is shown in (b). ... 20. 40. 60. 80. 100. 120. (a) (b). 0 100 200 300 400 500 600 700 800 900 10000.

13 Mar 2018: Relative motion of an apparent contour. 118. a. 200-. 150-. 100 -. so •. yS S 50. y S > S 100 •. R/inm / B. / / / A. position error/mm. bB. A. - ... aMO -. 200. 150 •. 100. -2.5 -2.0. 1.5 -1.0 -OS.

2 Mar 2009: word - - 150.3 69.7 209.8. class. 50 166.6 76.1 217.9exchange 100 164.4 74.8 216.6algorithm 200 160.9 73.5 214.8. ... 400 159.7 73.0 213.950 165.0 73.6 213.5. weight 100 163.5 73.4 213.1merge 200 162.4 73.1 213.0.

21 Sep 2006: 0 50 100 150 200 250 300 350 4000.25. 0.2. 0.15. ... Fea. ture. Val. ueBatch OSMINC OSM. 50 100 150 200 250 300 350 4000.

10 Nov 2015: F2) have been extracted and the hard GMM assignment. 100 200 300 400 500 600 700 800500.

20 Feb 2018: After every batch of 200 training dialogues, the partiallytrained policies were evaluated on1000 simulated dialogues.In the case of theǫ-greedy policy the exploration was switchedoff during the evaluation. ... a pub that has a TV and allows. 100 200 300

27 Apr 2001: 400. 350. 300. 250. 200. 150. 100. 50. 0. Shift / ypixels. ... 200. 150. 100. 50. 0. Shift / ypixels. De. pth. / y.

7 Oct 2009: Frame accuracies are given foreachof the 200 hours subset MLPs in Table 1 and all subset networksgive similar results. ... 1The best performing 200 hours subsets MLPs.2The GALEeval07 non-sequestered testset version is used.

20 Feb 2018: This yielded about13K utterances, one for each DA, which is much more difficult than the previous two domains (5.1Kutterances, 200 distinct DAs).

13 Mar 2018: 50 100 150 200 250 300 350. 50. 100. 150. 200. ... 200. 250. Figure 3. Examples of the covariances in image 2, for inliersto two motion hypotheses.

20 Feb 2018: The results indicate that the SL-model couldwork quite well with humans, but was improved byRL on the 200 training dialogues.