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7 Oct 2009: Once the MLP-based features have been derived for the en-tire training set, new HMM-based acoustic models must be es-timated. ... All testsets consist of Broad-cast News/Conversation style data. The LM was trained usingapproximately 1G words.

2 Mar 2009: This paperdescribes a new framework for estimating transforms that arediscriminative in nature, but are less sensitive to this hypothesisissue. ... V. CONCLUSION. This paper has described a new framework for robustdiscriminative unsupervised adaptation.

4 Aug 2009: New York, 1993. 21. [2] P. Suetens, Fundamentals of Medical Imaging, Cambridge University Press, Cambridge, UK,.

28 Apr 2009: Unsupervised Linear Transformation Estimation. • Estimation of all the transforms is based on EM:– requires the transcription/hypothesis of the adaptation data– iterative process using “current” transform to estimate new transform.

2 Mar 2009: This can be used to motivate new kernels toapply to the SV task. ... By introducing new variablesb(s)k andξ(s)1k ,. , ξ. (s)N k for each.

18 Feb 2009: In this work, a new approach for adaptive training on noise-corrupted trainingdata is presented. ... 5 Noisy CMLLR. Noisy CMLLR (NCMLLR) is a new form of linear transform.

28 Jul 2009: At each frame a new weak classifier islearned and the ensemble is updated by replacing the leastreliable classifiers in each time step. ... A new framework wasproposed that evaluates the robustness and precision of ob-servers, allowing the user to choose

28 Jul 2009: 1.2. Database description. We propose this new ground truth database to allow numericalevaluation of various recognition, detection, and segmentationtechniques. ... We re-usedthe color-index assignments from Shotton et al. (2006), and addedthe new

28 Jul 2009: At each frame a new weak classifier islearned and the ensemble is updated by replacing the leastreliable classifiers in each time step. ... A new framework wasproposed that evaluates the robustness and precision of ob-servers, allowing the user to choose

9 Mar 2009: Uniform precision ultrasound strain imaging. G.M. Treece, J.E. Lindop, A.H. Gee and R.W. PragerCUED/F-INFENG/TR 624. March 2009. Cambridge University Engineering DepartmentTrumpington StreetCambridge CB2 1PZ. England. Corresponding e-mail: