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Incremental Learning of Locally OrthogonalSubspaces for Set-based…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_bmvc06.pdf21 Sep 2006: w j ZT R j Z ' U jU Tj. From (2), we have w jU Ti U jU Tj Ui = O,i.e. -
Discriminative Adaptation for Speaker Verification C. Longworth and…
mi.eng.cam.ac.uk/~mjfg/longworth_INTER06.pdf22 Nov 2006: Ti and Tj are the lengths of utterances O(i) and O(j). -
Unsupervised Bayesian Detection of Independent Motion in Crowds…
mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf14 Sep 2006: This. was determined empirically as a conservative threshold. Tocompare two trajectories Xi and Xj , which respectively ex-tend in time over ti and tj , we consider only the over-lapping range ... of frames {fn : n ti tj}. -
Incremental Learning of Temporally-CoherentGaussian Mixture Models…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_SME06.pdf14 Mar 2006: 1i µ. Ti µ j C. 1j µ. Tj µ C1µ T. -
thesis.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf14 Jun 2006: Techniques For ModellingPhonological Processes In. Automatic Speech Recognition. Harriet Jane NockDarwin College. May 31 2001. This dissertation is submitted to the University of Cambridgefor the degree of Doctor of Philosophy. 1. DeclarationThis
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