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9 Aug 2005: For efficiency, the geometric feature vector & is exam-ined first. If the feature vector fails to be a valid instance of.

9 Aug 2005: of capitalisation generation are exam-ined for reference word sequences and reference punctuation marks.

8 Aug 2005: Training examplesEach training image can generate multiple training exam-ples. Each example is a vector of feature responses takenat a particular centroid and is given a binary target value,positive, meaning ... After each round, all training exam-ples

9 Aug 2005: another. Possible ways to model images include, for exam-ple, creating a set of pixel values, a frequency-based representation composed of Fouriercoefficients, or a grid of binary digits representing the

8 Aug 2005: asfaces with grossly incorrect scales – see Figure 9 for exam-ples of successfully removed false positives.

8 Aug 2005: exam-ple,by AthitsosandSclaroff for handposeestimation[1] andShakhnarovich et al.

15 Nov 2005: and economics, both theoretically and empirically. Amongst these aspects, mortgage. default has been one of the leading topics.

9 Aug 2005: Named Entity Recognition from Speechand Its Use in the Generation of. Enhanced Speech Recognition Output. Ji-Hwan Kim. Darwin College, University of Cambridge. and. Cambridge University Engineering Department. August 2001. Thesis submitted to the

9 Aug 2005: distributions. As we increase the number of features, without increasing the number of exam-ples, we create an ever more sparsely populated space.

9 Aug 2005: Table 1 showhow different tracking modes can be effected. For exam-ple if a rigid curve is to be tracked under variable epipolargeometry (eg.