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  2. Non-Rigid Photometric Stereo with Colored Lights

    mi.eng.cam.ac.uk/research/projects/VideoNormals/
    23 Apr 2013: Old New [41 Mb mpeg4 avi]. ... Short Small [5.7 Mb mpg1]. Results (ICCV07). New Results. Data. Contacts.
  3. Engineering Tripos Part IIB FOURTH YEAR Module 4F10: STATISTICAL ...

    mi.eng.cam.ac.uk/~mjfg/local/4F10/examples1.2up.pdf
    8 Nov 2013: xn are used to train the mixture model. Usingthe standard form of EM with mixture models show that the maximum likelihoodestimate for the “new” parameters, λ̂ji, is given by.
  4. University of CambridgeEngineering Part IB Paper 8 Information…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout5.pdf
    14 May 2013: new word belongs to. ... Second, there is an initialprocess of learning which enables the technique tothen categorize new, unseen images.
  5. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/flego_icassp12.pdf
    13 Jun 2013: 2.1. Maximum Likelihood trainingTo estimate the new VAT canonical model parametersM̂ thefollowing auxiliary function can be used. ... 3 and 4, is maximised, anda back-off procedure on the new estimates is generally ap-plied [2].
  6. IB-search.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2013-IB-handout4.pdf
    14 May 2013: return new Node(value, nothing, nothing);. if(value == current.value). return current;. if(value < current.value). ... returns KDNode. {. if(data.Count == 1). return new KDNode(nothing, -1, 0, data[0],.
  7. 13 Jun 2013: α. i α, where m is a new expert. (9). According to equation (9), the probability of the indicator indi-cating an existing component is proportional to the number ofdata associated ... with that component, and the probability of as-signing to a new
  8. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_icassp13.pdf
    13 Jun 2013: Thus the ability to adapt ASRsystems to new operating conditions, unseen in the trainingdata, is important.
  9. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/wang_is2012.pdf
    13 Jun 2013: A new adaptive train-ing algorithm, reverberant adaptive training (RAT), is proposed,where the RVTSJ adaptation is used in both testing and trainingstage.
  10. KERNELIZED LOG LINEAR MODELS FOR CONTINUOUS SPEECH RECOGNITION…

    mi.eng.cam.ac.uk/~mjfg/Kernel/sxz20_icassp13.pdf
    27 Mar 2013: New York, NY, USA: Cambridge University Press, 2004. [14] Y. Kubo, S. ... New York:Springer-Verlag, 1995. [18] J. Weston, B. Schölkopf, and O. Bousquet, “Joint kernel maps,” inIWANN, 2005, pp.
  11. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 Jun 2013: Nhyp(T ), then sum-to-one normalization computes new scores. ŝ(i,T ) = s(i,T )/Nhyp(T )X. ... Tranter, “Progress in the CU-HTKBroadcast News transcription system,” IEEE Transactions onAudio, Speech, and Language Processing, vol.

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