We consider spatio-temporal interpolation of geographic data using both the reduction method, which treats time as an independent dimension, and the extension method, which treats time as equivalent to a spatial dimension. We adopt both 2-D and 3-D shape functions from finite element methods for the spatio-temporal interpolation of 2-D spatial and 1-D temporal data sets. We also develop new 4-D...

Thus far, the success of capturing and classifying temporal information with neural networks has been limited. Our methodology adds a spatio-temporal coupling to the Self-Organized Feature Map (SOFM) which creates temporally and spatially localized neighborhoods in the map. The spatio-temporal coupling is based on traveling waves of activity starting at each winning node which are naturally att...

This paper presents a theory for constructing and computing velocity-adapted scale-space lters for spatio-temporal image data. Starting from basic criteria in terms of time-causality, time-recursivity, locality and adaptivity with respect to motion estimates, a family of spatio-temporal recursive lters is proposed and analysed. An important property of the proposed family of smoothing kernels i...

Abstract This paper reports a site-specific spatio-temporal channel model for the suburban slightly NLOS (non-line-of-sight) microcellular environment, based on the field test result of the azimuth-delay spectrum. The parameter extraction scheme of the spatio-temporal channel is briefly reviewed [1, 2], first. Then, the implementation issue of the stochastic spatio-temporal fading simulator is ...

In this contribution we present a cognitively motivated approach to an interactive assistance system for spatio-temporal planning tasks. Since mental spatial problem solving is known to be based on hierarchical representations, we argue for region-based representation structures that allow for structuring a complex spatio-temporal problem such that exploring and communicating alternative soluti...

ion for spatio-temporal analysis. Specifically, our contribution includes 1) the design of distributed programming abstraction for spatio-temporal analysis, 2) investigation of performance bottleneck for spatio-temporal analysis on large-scale camera networks, and 3) scalable mechanisms that address computation and communication overheads of state update. 4.1 Application Logic of Spatio-tempora...

This research demonstrates the application of association rule mining to spatio-temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A → B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio-temporal association rule occurs when there is a spatio-temporal relationship in th...