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Reconstruction and Motion Estimation fromApparent Contours under…
mi.eng.cam.ac.uk/reports/svr-ftp/wong_bmvc99.pdf30 Jan 2000: 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. -
Global Optimisation of Neural Network Models Via Sequential…
mi.eng.cam.ac.uk/reports/full_html/freitas_icslp98.html/8 Mar 2000: 100 samples were used in the Monte Carlo simulations. Table 1 shows the average one-step-ahead prediction errors obtained for 10 runs, of 200 time steps each, on a Silicon -
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. -
GLOBAL OPTIMISATION OF NEURAL NETWORK MODELSVIA SEQUENTIAL…
mi.eng.cam.ac.uk/reports/svr-ftp/freitas_icslp98.pdf10 Apr 2000: 100 samples were used in theMonte Carlo simulations. Table 1 shows the average one-step-ahead prediction er-rors obtained for 10 runs, of 200 time steps each, on aSilicon Graphics ... 10. 12. 34. 0. 50. 100. 150. 2000. 100. 200. 300. -
The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…
mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf8 Mar 2000: 0. 50. 100. 150. 200. 250. 300. 350. 0 50 100 150 200. ... 0. 200. 400. 600. 800. 1000. 1200. 0 50 100 150 200 250 300 350. -
Spoken Document Retrieval for TREC-7 at Cambridge University
mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/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. -
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. -
Effects of Out of Vocabulary Words in Spoken Document ...
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_sigir00.pdf10 May 2000: BRF is run on the parallel collectionadding the best 200 new terms taken from the top 10 doc-uments to the original document with a term frequencyequal to 1. -
Spoken Document Retrieval for TREC-8 at Cambridge University
mi.eng.cam.ac.uk/reports/full_html/johnson_trec8.html/30 Mar 2000: Spoken Document Retrieval for TREC-8 at Cambridge University. S.E. Johnson , P. Jourlin ,K. Spärck Jones & P.C. Woodland. Trumpington Street, Cambridge, CB2 1PZ, UK. Pembroke Street, Cambridge, CB2 3QG, UK. Email:. {eng.cam.ac.uk. {cl.cam.ac.uk. -
SPOKEN DOCUMENT RETRIEVAL FOR TREC-7 AT CAMBRIDGE UNIVERSITY S.E. ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec7.pdf8 Mar 2000: Note, not producing any output gives a TER of 100%whereas misrecognising every word as on OOV word produces a TERof 200%, due to each substitution error counting as both an ... Misrecognising every word will in practise givea TER of below 200% as the -
Reducing Word Error Rates of Found Speech -XPERT Tool ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_tr330.pdf10 Apr 2000: C,"understand","understand",413.300413.880:C,"why","why",413.880414.080:C,"it","it",414.080414.200:C,"makes","makes",414.200414.420:C,"a","a",414.420414.490:C," -
SPOKEN DOCUMENT RETRIEVAL FOR TREC-8 AT CAMBRIDGE UNIVERSITY S.E. ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec8.pdf10 Apr 2000: SPOKEN DOCUMENT RETRIEVAL FOR TREC-8 AT CAMBRIDGE UNIVERSITY. S.E. Johnson†, P. Jourlin‡, K. Sp̈arck Jones‡ & P.C. Woodland†. †Cambridge University Engineering Department,Trumpington Street, Cambridge, CB2 1PZ, UK.Email: {sej28,pcw -
Submitted in partial requirement for the MPhil in Computer ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_mthesis.pdf10 Apr 2000: Table 7: Model-based MLLR transform Matrices results. 0 5 10 15 200. ... Figure 11: Dendograms for Neighbourhood Clustering Methods. 0 25050 100 150 200.
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