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11 - 20 of 48 search results for katalk:PC53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 48 match some words.

  1. Results that match 1 of 2 words

  2. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf
    19 Mar 2006: 24] P. S. Penev. Dimensionality reduction by sparsification in a local-features representation of human faces. ... Ross and A. Jain. Information fusion in biometrics.PatternRecognition Letters, 24(13):2115–2125, 2003.

  3. Complementary System Combination andGeneration for ASR Mark Gales 20…

    mi.eng.cam.ac.uk/~mjfg/mjfg_tcstar.pdf
    5 Jul 2006: Complementary System Selection (“Random”). • Variability to systems can be obtained by varying for example:– segmentation and clustering [3]– acoustic model decision tree [24]– acoustic model context (tri/quin-phone) [4]– ... Cambridge

  4. Automatic Cast Listing in Feature-Length Films with Anisotropic…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_CVPR06.pdf
    21 Mar 2006: Due to the smoothness of faces, each track corre-sponds to an appearance manifold [2, 22, 24], as illustratedin Fig. ... 24] B. Moghaddam and A. Pentland. Principal manifolds and probabilis-tic subspaces for visual recognition.PAMI, 24(6), 2002.2, 3.

  5. Joint Uncertainty Decoding for Noise Robust Speech Recognition H. ...

    mi.eng.cam.ac.uk/~mjfg/liao_INTER05.pdf
    19 Dec 2006: Uncertainty 1 4 16 256. Clean — 33.2. SPLICENo. 24.6 20.7 17.0 12.3FE-CMLLR 16.3 15.3 12.8 13.5.

  6. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AVSS06.pdf
    1 Sep 2006: 10] A. M. Martinez. Recognizing imprecisely localized, partially oc-cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002.

  7. DEVELOPMENT OF THE CUHTK 2004 MANDARIN CONVERSATIONAL TELEPHONESPEECH …

    mi.eng.cam.ac.uk/~mjfg/gales_ICASSP05.pdf
    22 Nov 2006: Devel-opment data, dev04, was made available for this task comprising2 hours of data, 24 conversations.

  8. TextonBoost: Joint Appearance, Shape andContext Modeling for…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_eccv06.pdf
    15 Feb 2006: For cases like these, the algorithm of [24] couldbe used to refine the class labeling. ... In: AAAI.(2005) 1508–1513. 24. Kumar, S., Hebert, M.: A hierarchical field framework for unified context-basedclassification.

  9. Discriminative Adaptation for Speaker Verification C. Longworth and…

    mi.eng.cam.ac.uk/~mjfg/longworth_INTER06.pdf
    22 Nov 2006: ComponentsGMM A-GMM. EER(%) minDCF EER(%) minDCF. 128 12.17 0.5014 8.62 0.3714256 11.24 0.4704 7.88 0.3467512 11.13 0.4638 7.48

  10. EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_semantic06.pdf
    1 Jun 2006: IEEE Trans. Pattern Analysis and MachineIntelligence 24, 6 (2002), 748–763. [MBSL99] MALIK J., BELONGIE S., SHI J., LEUNG T.: Tex-tons, contours and regions: Cue integration in image segmenta-tion.

  11. article.dvi

    mi.eng.cam.ac.uk/~mjfg/rosti_CSL04.pdf
    22 Nov 2006: Factor analysed hidden Markov models for. speech recognition. A-V.I. Rosti , M.J.F. Gales. Cambridge University Engineering Department, Trumpington Street, Cambridge,. CB2 1PZ, UK. Abstract. Recently various techniques to improve the correlation

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