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  2. USE OF GAUSSIAN SELECTION IN LARGE VOCABULARY CONTINUOUSSPEECH…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/knill_icslp96.pdf
    9 Aug 2005: A good approximate loglikelihood score was found empirically. To test whether the GS performance degrades below the 1.6 tailthreshold due to the state likelihoods of components within a se-lected
  3. A Comparative Study of Methods forPhonetic Decision-Tree State…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro97.pdf
    9 Aug 2005: Section 5. evaluates methods using the SQALEUS-English test set and Section 6.
  4. Detection of Human Faces under Scale, Orientation and Viewpoint ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_fg96_2.pdf
    9 Aug 2005: c) aspectratio = 1:1 (201 points). We do a further test by varying the aspect ratio of thepreattentive filter.
  5. Likelihood Models for Template MatchingUsing the PDF Projection…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc04.pdf
    8 Aug 2005: Thisis the underlying principle of the Likelihood Ratio Test (LRT). It could be easily shownthat using likelihood ratios minimizes the Bayesian error in two-class decision problems[20].
  6. DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS…

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_icassp05.pdf
    1 Apr 2005: Furthermore, we excludedtdt4 data after 15 Jan-uary 2001 so not to have temporal overlap of acoustic or languagemodel data with the development test sets. ... The resultsstill showed consistent gains over various test sets. Finally we usedthe
  7. A Probabilistic Framework for Space Carving A. Broadhurst, T.W. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/broadhurst_iccv01.pdf
    9 Aug 2005: hood estimate, then an OpenGL implementation is possible.The model is repeatedly rendered using the 0 -test, with anincreasing probability threshold.
  8. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf
    8 Aug 2005: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of
  9. 9 Aug 2005: Test-set perplexity. Training-set perplexity. Test-set, count thresholdprune. 1e-4. 5e-5. 2.5e-5. 1e-5.
  10. 9 Aug 2005: cd/opal/timit/test/dr4/mbns0/sx320 ). Ampl. itude. h#dhaxn ih r ixs ih nxix gclgaa gclm ey n aa pclbiy w axth ix n w ao kclk ix ng
  11. A Modular Q-Learning Architecture for Manipulator Task Decomposition…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/tham_ml94.pdf
    9 Aug 2005: We carried out three additional experiments to test the gen-erality and robustness of our approach:.

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