Representing volume data is an important task in many fields, from medicine [1] to physics and geology. Volumes are generated by collecting discrete measurements over a finite region of space, and this collection process leads naturally to two observations: first, what is usually called a volume is in reality a function f : V → M from a volume V to a measurement space M ; second, the volume—whi...

Interpolation is often used to improve the accuracy of integrals over spectral data convolved with various response functions or power distributions. Formulae are developed for propagation of uncertainties through the interpolation process, specifically for Lagrangian interpolation increasing a regular data set by factors of 5 and 2, and for cubic-spline interpolation. The interpolated data are...

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In this paper, we propose a novel solution for multi-view object detection. Given a set of training examples at different views, we select examples at a few key views and train one classifier for each of them. Then classifiers for more intermediate views can be interpolated from key views. The interpolation is conducted on the weights and positions of features, under the assumption that they ca...

Although there has been a considerable amount of work on short-term memory for verbal material, little has been done to examine the extent to which the findings applicable to this area can be generalized to non-verbal material. Some work with discrete movements has indicated that, unlike verbal material, there is a rapid, apparently spontaneous decay of a discrete movement over a short interval...

The present study was designed to investigate the nature of motor information processing in the intertrial intervals of a discrete motor task. In Experiment 1, the subjects were given the task of grasping the dynamometer with an intensity yielding a value as close as possible to the target value (40% of the subject's maximum grasping power). The exercise session consisted of 5 trials without Kn...

A DFT algorithm, the Extended Subband DFT (ESB−−DFT), is presented, which aims to overcome the problem of low accuracy the Subband DFT (SB−−DFT) algorithm suffers from, when applied in its approximate mode for signals with full spectrum. The proposed ESB−DFT is based upon the analysis of the input signal using a Filter Bank (FB) and the computation of its DFT from the lower length DFTs that cor...