… We develop notation for describing a temporal structure over the real numbers flow of time.
… continuous model and its temporal logics have not been well understood. Any dense model …

… or temporal attributes rather than on the integration of space and time over multiple scales.
This study introduces the continuous spatio-temporal model (CSTM), a conceptual model that …

… models. On the one hand we propose different spatio-temporal structures to infer the fundamental
spatio-temporal … component modelling (SCM) to estimate more robust model effects in …

… Cognitive psychologists have characterized the temporal properties of human information
processing in terms of discrete and continuous models. Discrete models postulate that …

… In the meantime, to ensure continued support, we are displaying the site … models extended
this approach to continuous trajectory. For example, continuous-state hidden Markov models (…

… models were tested on the continuous-response data from Experiment 2 and shown to be
insufficient. An alternate model … this parametric, temporal model accurately predicts tension …

… variables within CRFs which model sub-structure motion … from continuous video sequence
by modeling temporal variations … ), we demonstrate that temporal variations within shapes are …

… In this case, y is a realisation of the air pollution process that changes continuously in space
and we usually refer to it as geostatistical or point-reference data. Alternatively, we may be …

… One of the natural distribution shifts [15][37] uses video as input while it is to measure the
robustness of the image classification model to small changes in continuous video frames. …

… temporal models were designed to support the temporal … functionality offered by the temporal
models at an abstract level, … of implementing a continuous temporal data model. However…