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Model-Based Approaches to HandlingUncertainty M.J.F. Gales Abstract A …
mi.eng.cam.ac.uk/~mjfg/noise_review10.v1.pdf3 Sep 2010: In practice this is rarely the case. Originally the backgroundnoise was simply estimated from periods of “silence” in the test conditions. ... In particular the AURORA2 test set [27] has been used to evaluate a number of systems within a -
Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2010-IJCV-Kim.pdf25 Oct 2010: The mixture model makes predictionsfor arbitrary new test points and typically has a relativelysmall number of parameters. ... where NG is the number ofground truth images in the test data set). -
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 4, ...
mi.eng.cam.ac.uk/~cipolla/publications/article/2010-IP-Face-Recognition.pdf25 Oct 2010: An inde-pendent illumination set comprising both training and test sets. Fig. ... Fig. 6 compares the recognition accuracy ofall methods, where the experiment numbers correspond to thecombinations of the training/test lighting sets. -
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 4, ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2010-IP-Face-Recognition.pdf25 Oct 2010: An inde-pendent illumination set comprising both training and test sets. Fig. ... Fig. 6 compares the recognition accuracy ofall methods, where the experiment numbers correspond to thecombinations of the training/test lighting sets. -
High resolution cortical thickness measurement from clinical CT data…
mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr634.pdf12 Jan 2010: diversion, to test the claim in Section 2.2 that constraining y1 is the best strategy for condi-tioning the model-fitting process.
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