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afftensor.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_affine-tensor.pdf10 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. -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf8 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. -
Towards Qualitative Vision: Motion Parallax Andrew Blake, Roberto…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1990-BMVC-parallax.pdf13 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. -
Context Dependent Language Model Adaptation X. Liu, M. J. ...
mi.eng.cam.ac.uk/~mjfg/liu_INTER08.pdf2 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. -
Incremental Learning of Locally OrthogonalSubspaces for Set-based…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_bmvc06.pdf21 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. -
lect3.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lect3.pdf10 Nov 2015: F2) have been extracted and the hard GMM assignment. 100 200 300 400 500 600 700 800500. -
Online_ASRU11.dvi
mi.eng.cam.ac.uk/~sjy/papers/gjty11.pdf20 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 -
Correction of Probe Pressure Artifactsin Freehand 3D Ultrasound — ...
mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr411.pdf27 Apr 2001: 400. 350. 300. 250. 200. 150. 100. 50. 0. Shift / ypixels. ... 200. 150. 100. 50. 0. Shift / ypixels. De. pth. / y. -
paper_pcw_v1.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_interspeech09.pdf7 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. -
Uncertain RanSaC Ben Tordoff and Roberto CipollaDepartment of…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-MVA-Tordoff.pdf13 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. -
Toward Multi-domain Language Generation usingRecurrent Neural…
mi.eng.cam.ac.uk/~sjy/papers/wgmr15.pdf20 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). -
POMDP-based dialogue manager adaptation to extended domains M.…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13a.pdf20 Feb 2018: The results are given in Fig. 2. 0 200 400 600 800 1000 1200 1400 1600Training dialogues. ... based adaptation can restore a system tooptimal performance within 200 to 300 adaptationdialogues. -
Continuously Learning Neural Dialogue Management
mi.eng.cam.ac.uk/~sjy/papers/sgmr16.pdf20 Feb 2018: The results indicate that the SL-model couldwork quite well with humans, but was improved byRL on the 200 training dialogues. -
HYBRID SYSTEMS FORRECONSTRUCTION OF FREEHAND 3D ULTRASOUND DATA R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr574.pdf30 Mar 2007: m). 0 50 100 150 200 2503. 2.5. 2. 1.5. 1. ... ated. tilt. angl. e (d. egre. es). 0 50 100 150 200 2501.5. -
WeilhammerStuttleYoungICSLP2006.dvi
mi.eng.cam.ac.uk/~sjy/papers/wesy06.pdf20 Feb 2018: 33.5. 34. 34.5. 35. 35.5. 36. 36.5. 37. 37.5. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. -
DESIGN OF FAST LVCSR SYSTEMS G. Evermann & P.C. ...
mi.eng.cam.ac.uk/reports/svr-ftp/evermann_asru2003.pdf23 Sep 2003: The Hub-5 systems developedin the past few years ran between 200 and 300xRT and em-ployed 6 to 8 rescoring branches for system combination. ... pass run timeCoding Segmentation 0.068 xRTPass1 0.890 xRTVTLN 0.387 xRTPass2 3.178 xRTPass3.1 Adapt 1.422 -
LARGE VOCABULARY DECODING AND CONFIDENCE ESTIMATIONUSING WORD…
mi.eng.cam.ac.uk/reports/svr-ftp/evermann_icassp00.pdf5 May 2000: triphone quinphoneHub4 eval’97 0.302 0.163Hub5 dev’98 0.191 -0.026Hub5 eval’98 0.104 -0.200. ... triphone quinphonepost tree post tree. time dep. 0.104 0.234 -0.200 0.188confnet 0.000 0.213 -0.396 0.198. -
yeyo05b.dvi
mi.eng.cam.ac.uk/~sjy/papers/yeyo05b.pdf20 Feb 2018: NonNativeA: Chinese sentences 11-20 and 31-40 spoken bythe first 10 native English speakers, 200 utterances in to-tal. -
Model-Based Hand Tracking
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2003-MOSX-Hand-Detection.pdf19 May 2014: A single template matching at a given location typically costs around 200 additions and one division operations- inexpensive. • -
Paper8-features-matching.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Features-Matrching.pdf26 Apr 2022: 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.
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