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  2. C:/SFWDoc/Academic/Publications/2006/ICPR_2006/Final_AppTrack/icpr_200…

    mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_icpr06b.pdf
    21 Sep 2006: This meanswe can start from an initially small model and test the ‘rele-vance’ of each new input vectori sequentially. ... 5 Conclusion. In this paper, a new appearance-based method is pro-posed to track an object which may undergo appearancechange.
  3. TechReport.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/ng_tr529.pdf
    21 Apr 2006: To demonstrate this formally, we introduce in Figure 1(b) a new setof axes labelled xp and yp which are simply the x and y axes rotated anticlockwise through an3.
  4. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2006-IB-search.pdf
    19 May 2006: return new Node(value, nothing, nothing);. if(value == current.value). return current;. if(value < current.value). ... list<vector> leftData = new list<vector>();. list<vector> rightData = new list<vector>();. foreach(vector dataPoint in data). {.
  5. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/liao_INTER06.pdf
    22 Nov 2006: in observations: A new paradigm for robust speech recogni-tion,” in Proc.
  6. 22 Nov 2006: ABSTRACTRecently there has been significant interest in developing new acous-tic models for speech recognition. ... statistics are introduced (only new functions of thebase model statistics), independence assumptions of the base modelare retained.
  7. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf
    9 Dec 2006: WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN BROADCAST NEWS AUDIO. ... 1014. 4. EXPERIMENTAL SET UP. The training data used for this task consisted of the Hub-4 1996/7broadcast news training data.
  8. EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...

    mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_eg06.pdf
    19 Sep 2006: Bottom: proposed method. The result-ing surface is filtered from noise while new high frequencygeometry is revealed (note the reconstructed surface cracks).
  9. Incremental Learning of Locally OrthogonalSubspaces for Set-based…

    mi.eng.cam.ac.uk/reports/svr-ftp/kim_bmvc06.pdf
    21 Sep 2006: i). (6). Note this is applied only to the classes having the new data. ... The latter term is for computing (Mni , P. ni , Λni ) from the new data.
  10. Incremental Learning of Temporally-CoherentGaussian Mixture Models…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_SME06.pdf
    14 Mar 2006: Common to both [8] and [14] is the failure to make use of the existing modelwhen the GMM corresponding to new data is fitted. ... c) New data point (red circle) causes the splitting of a Gaussian component,resulting in a 3-component mixture.
  11. 5 Jul 2006: Sim, and P. C. Woodland, “The CU-HTK Mandarin Broadcast News transcriptionsystem,” in Proceedings ICASSP, 2006. ... Venkataraman, R. R. Gadde, and A. Stolcke, “SuperEARS: Multi-site broadcast news system,” inProc.

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