A series of 24 short, 30-second video segments captioned at different speeds were shown to 578 people. The subjects used a five-point scale (Too Fast, Fast, OK, Slow, Too Slow) to make an assessment of each segment’s caption speed. The “OK ” speed, defined as the speed at which “Caption speed

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Increased BOLD sensitivity in the mouse somatosensory cortex during electrical forepaw stimulation using a cryogenic RF probe

definition of a classifier by domain experts) are a very good effectiveness, considerable savings in terms of expert labor power, and straightforward portability to different domains. This survey discusses the main approaches to text categorization that fall within the machine learning paradigm. We

familiar dynamic rational expectations theories to suggest that it might be useful and practical, while the implications for policy are different enough to be interesting.

of their wavelet transform are explained. We then prove that the local maxima of a wavelet transform detect the location of irregular structures and provide numerical procedures to compute their Lipschitz exponents. The wavelet transform of singularities with fast oscillations have a different behavior that we

to reading are (a) the characteristics of eye movements, (b) the perceptual span, (c) integration of information across saccades, (d) eye movement control, and (e) individual differences (including dyslexia). Similar topics are discussed with respect to the other tasks examined. The basic theme of the review

demonstrate these methods by applying them to twentyfour real-world data sets from a range of different disciplines. Each of the data sets has been conjectured previously to follow a power-law distribution. In some cases we find these conjectures to be consistent with the data while in others the power law

This article examines the fundamental