Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
1 - 10 of 13 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 13 match some words.

  1. Results that match 1 of 2 words

  2. Reconstruction and Motion Estimation fromApparent Contours under…

    mi.eng.cam.ac.uk/reports/svr-ftp/wong_bmvc99.pdf
    30 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.

  3. 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

  4. 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.

  5. GLOBAL OPTIMISATION OF NEURAL NETWORK MODELSVIA SEQUENTIAL…

    mi.eng.cam.ac.uk/reports/svr-ftp/freitas_icslp98.pdf
    10 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.

  6. The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…

    mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf
    8 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.

  7. 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.

  8. LARGE VOCABULARY DECODING AND CONFIDENCE ESTIMATIONUSING WORD…

    mi.eng.cam.ac.uk/reports/svr-ftp/evermann_icassp00.pdf
    5 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.

  9. Effects of Out of Vocabulary Words in Spoken Document ...

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_sigir00.pdf
    10 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.

  10. 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.

  11. SPOKEN DOCUMENT RETRIEVAL FOR TREC-7 AT CAMBRIDGE UNIVERSITY S.E. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec7.pdf
    8 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

Refine your results

clear all

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.