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DISCRIMINATIVE CLASSIFIERS WITH ADAPTIVE KERNELS FOR NOISE ROBUST…
mi.eng.cam.ac.uk/~mjfg/gales_flego_CSL10.pdf14 Sep 2010: These approaches either use the existing SVM parameters as a form of priorfor the samples from the new domain (Li and Bilmes, 2006), or define a resam-pling weight for the ... 6 Conclusions. This paper has described a new approach to noise-robust speech -
dualSpd_D2c_TechR.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/Shin_TR637.pdf26 May 2010: Previously we reported a. new method of sound-speed estimation in the context of image deconvolution. ... These new features are. found to be important in determining the speed in the dual-layer scenario. -
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: matching. In this paper, 1) a new discrim-inative method that maximises orthogonality between subspacesis proposed. ... The number of classesof the combined and the new set are denoted by. -
Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…
mi.eng.cam.ac.uk/~cipolla/publications/article/2010-IJCV-Kim.pdf25 Oct 2010: The learn-ing complexity over a new data set is not analytically pro-vided. ... step. The class posteriorprobabilities of the new samples are set to the probabilisticlabels. -
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 learn-ing complexity over a new data set is not analytically pro-vided. ... step. The class posteriorprobabilities of the new samples are set to the probabilisticlabels. -
werhist-main.2.eps
mi.eng.cam.ac.uk/~mjfg/thesis_ckr21.pdf10 Jun 2010: data, such as broadcast news and telephone speech recordings. Such found data often has. ... new approach for adaptive training based on discriminative mapping transforms is proposed. -
Kernel Methods forText-Independent Speaker Verification Chris…
mi.eng.cam.ac.uk/~mjfg/thesis_cl336.pdf25 Feb 2010: At each subsequent time instance t the HMM transitions into a new stateθt = j. ... An observation is then generated based on the output distribution, bj (ot) = p(ot|θt),associated with the new state. -
Lattice Rescoring Methods forStatistical Machine Translation Graeme…
mi.eng.cam.ac.uk/~wjb31/ppubs/gwbthesis2010.pdf6 Oct 2010: improving SMT quality by making it easier tointegrate new modelling approaches into good baseline systems. -
/home/blue7/jjjb2/2009-03-02_ZH-EN/results/HMMcomp.f2e.ps
mi.eng.cam.ac.uk/~wjb31/ppubs/jbrunningthesis.pdf20 Oct 2010: Figure 1.1: Graphical representation of noisy channel models and decoding. 1http://news.xinhuanet.com/english/2007-08/31/content_6637522.htm. ... It looks at the discriminative training of alignment modelsto improve the quality of word-level alignments
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