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Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/AHGHe has authored and co-authored more than 200 papers. -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/sslm.html12 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 -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/lrhr.html12 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. -
wxDicom
mi.eng.cam.ac.uk/~gmt11/wxDicom/recon.htmlA value of 200 will sample at twice this density, which should always be sufficient. -
gp l lw l i P G C il ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1996-AA-interaction.pdf13 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! -
Comparison between Hessian Free and Natural Gradient training for DNN …
mi.eng.cam.ac.uk/UKSpeech2017/posters/a_haider.pdf20 Nov 2017: Linear Conjugate Gradient. Experimental Setup. I Experiments used ASRU 2015 MGB challenge data.I Training set : 200 hr MGB1 training dataset.I Validation : the official MGB1 dev.sub set (5.5 -
Effects of Out of Vocabulary Words in Spoken Document Retrieval
mi.eng.cam.ac.uk/reports/full_html/woodland_sigir00.html/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. -
RTSC MAGPHASE VOCODER: MAGNITUDE ANDPHASE ANALYSIS/SYNTHESIS FOR…
mi.eng.cam.ac.uk/UKSpeech2017/posters/f_espic.pdf19 Jan 2018: rate thanthe 200 frames-per-second typical in many sys-tems. -
Incremental on-line adaptation of POMDP-based dialogue managers…
mi.eng.cam.ac.uk/~sjy/papers/gktb14.pdf20 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 -
Spoken Document Retrieval for TREC-9 at Cambridge University
mi.eng.cam.ac.uk/reports/full_html/johnson_trec9.html/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. -
Using Wizard-of-Oz simulations to bootstrap…
mi.eng.cam.ac.uk/~sjy/papers/wiyo03.pdf20 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. -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/femur.html12 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 -
Recent Improvementsin the CUED CTS SU System M. Tomalin ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_mar05mde.pdf28 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 -
Optimisation of Fast LVCSR Systems Gunnar Evermann, Phil Woodland ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_stthomas03.pdf10 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. -
Machine Learning for Speech & LanguageProcessing Mark Gales 28 ...
mi.eng.cam.ac.uk/~mjfg/FCSW_talk.pdf19 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. -
Machine Learning of Level and Progression in Second/Additional…
mi.eng.cam.ac.uk/~kmk/presentations/UBham_May2016_Knill.pdf12 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. -
4F12-notes-2.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-2.pdf7 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. -
IB-interestpoints.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2018-IB-handout2.pdf14 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. -
Reconstruction and Motion Estimation fromApparent Contours under…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-BMVC-Wong-reconstruction.pdf13 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. -
34 1 2 Localaffine deformation Total affinedeformation Robot…
mi.eng.cam.ac.uk/~cipolla/publications/article/2000-IJCV-visual-servo.pdf13 Mar 2018: 000000. 0"/20. 0. 00#$0. =. 0. $#$0000. 00. ( not! )0#"/200.
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