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28 Apr 2009: Cambridge UniversityEngineering Department. Tsinghua University April 2009 24. Model-Based Approaches to Speaker and Environment Adaptation. ... Ratio of corrupted speech magnitudeto clean speech magnitude. • magnitude (α = 1, γ = 1)• power (α = 0,

4 Aug 2009: especially for in vivo applications may be addressed through blind deconvolution [23, 24, 25, 26,.

2 Mar 2009: is introduced to map, for example, ML-trained trans-forms into discriminative transforms [24]. ... This had a gain of 0.24%. k. yu et al.: UNSUPERVISED ADAPTATION WITH DISCRIMINATIVE MAPPING TRANSFORMS 9.

9 Mar 2009: 6 3 ANALYSIS. 20 40 60 80 100sample number. r2=a. r2=24 a.

2 Mar 2009: The primal weight vectorisgiven by. wk =. N. i=1. αiyiβkφk(Oi; λ) (24). ... At each iterationJ(s, β) can be estimated using astandard efficient SVM implementation such as [24].

18 Feb 2009: 24). where γ(m)o,t is the posterior probability of component m given the observation sequence O, bias. ... parameter Mb, and model set M. Differentiating equation 24 with respect to µ̂(rm)b and Σ̂(rm).

28 Jul 2009: discriminativepower trade-off was explored [24]. It is possible to use each observer as a single compo-nent in a tracking algorithm. ... InFourth Asian Conference onComputer Vision, Taipei, Taiwan, January 2000.1. [24] M.

28 Jul 2009: 1.99%. 0.05%. 1.38%. 60.43%. 69.01%. 60.09%. 89.85%. 75.19%. 87.24%. 1.65%. 0.83%. ... The overall score for TextonBoost in training and testing with daytime subsets of our database is 75.02%, and for dusk it was72.24%.

28 Jul 2009: discriminativepower trade-off was explored [24]. It is possible to use each observer as a single compo-nent in a tracking algorithm. ... InFourth Asian Conference onComputer Vision, Taipei, Taiwan, January 2000.1. [24] M.

28 Jul 2009: discriminativepower trade-off was explored [24]. It is possible to use each observer as a single compo-nent in a tracking algorithm. ... InFourth Asian Conference onComputer Vision, Taipei, Taiwan, January 2000.1. [24] M.