We study an energy functional for computing optical flow that combines three assumptions: a brightness constancy assumption, a gradient constancy assumption, and a discontinuity-preserving spatio-temporal smoothness constraint.

We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler

references; 5) temporal locality of reference; and 6) idle periods of individual users. This paper reviews the essential elements required in the generation of a representative Web workload. It also addresses the technical challenges to satisfying this large set of simultaneous constraints on the properties

of audiovisual stimuli is affected by various factors. To investigate the relation between our subjective simultaneity of audiovisual stimuli and our action, we conducted an experiment in which subjects ’ action affected the temporal patterns of resulting stimuli. The modes of contingency between action

term (Donea 1984). In this study we show that, for explicit, timecentered advection schemes, achieving higher order temporal accuracy results in schemes with significantly improved stability properties compared with conventional leapfrog methods. Linear results show that marked improvement is possible

in their ability to follow specific rates of stimulation but all perform poorly when the stimulus rate is greater than the maximal firing rate of the neurons. The temporal accuracy of the combined synaptic output of an ensemble is, however, enhanced by the presence of gradients in Kv3 channel levels over

. This paper also uses the ROC curve and the landscape metrics to evaluate the accuracy in SLEUTH by comparing two simulating periods. The result shows that the simulating period will impact the predicting accuracy to some degree. In addition, the landscape metrics verify that SLEUTH can reflect the urban

fingers arrive on instrument keys contributes to tempo-ral accuracy in piano performance (Goebl & Palmer, 2008). The hypothesis that timing accuracy is related to sensory (tactile) information available at finger-key contact was extended to clarinetists ’ finger movements during key depressions

Real-time systems must be able to ensure temporally determinate execution of real-time tasks at run-time. By temporal accuracy, we refer to the timing accuracy with which the execution of a task can be started at a predetermined time. Temporally determinate execution of tasks on modern high

¥§ ¦ hours of stationary traces for further analysis. We consider the dependence as seen in the autocorrelation function of the original loss data as well as the dependence between good run lengths and loss run lengths. The correlation timescale is found to be  ¢¨¤¨¤¨§©� � or less. We evaluate the accuracy