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C:/SFWDoc/Academic/Publications/2006/ICPR_2006/Final_AppTrack/icpr_200…
mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_icpr06b.pdf21 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. -
TechReport.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/ng_tr529.pdf21 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. -
University of CambridgeEngineering Part IB Information Engineering…
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2006-IB-search.pdf19 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). {. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/liao_INTER06.pdf22 Nov 2006: in observations: A new paradigm for robust speech recogni-tion,” in Proc. -
AUGMENTED STATISTICAL MODELS FOR SPEECH RECOGNITION M.I. Layton and…
mi.eng.cam.ac.uk/~mjfg/layton_ICASSP06.pdf22 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. -
WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf9 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. -
EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...
mi.eng.cam.ac.uk/reports/svr-ftp/hernandez_eg06.pdf19 Sep 2006: Bottom: proposed method. The result-ing surface is filtered from noise while new high frequencygeometry is revealed (note the reconstructed surface cracks). -
Incremental Learning of Locally OrthogonalSubspaces for Set-based…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_bmvc06.pdf21 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. -
Incremental Learning of Temporally-CoherentGaussian Mixture Models…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_SME06.pdf14 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. -
Complementary System Combination andGeneration for ASR Mark Gales 20…
mi.eng.cam.ac.uk/~mjfg/mjfg_tcstar.pdf5 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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