Growing availability of long-term satellite imagery enables change modeling with advanced spatio-temporal statistical methods. Multidimensional arrays naturally match the structure of spatio-temporal satellite data and can provide a clean modeling process for complex spatio-temporal analysis over large datasets. Our study case illustrates the detection of breakpoints in MODIS imagery time serie...

We present a new approach to temporal data modeling based on the very general notion of temporal object . Moreover, we propose the database embedding of temporal objects by means of the abstract data type ( ADT ) approach. We consider the expressiveness of different temporal database embeddings, and we discuss the combination of temporal and spatial objects into spatio-temporal objects in (rela...

simplicity. In high-level modeling this concern is even more justiied. Operational modeling should be aaected both by programming notions and by logics for reasoning. Generalizing single-object methods into multi-object actions allows object-oriented modeling at a level where communication aspects have been abstracted away. On the other hand, ease of reasoning on temporal behaviors and practica...

The present paper explores the possibility of modeling of uncertainty through temporal databases. Considering limitations of relational model and technological progress, temporal databases emerged. Adding to it, the uncertainty aspect for imitating human like thinking. Temporal models are discussed, leading to proposed conceptual temporal database framework.

The temporal trajectories of the spectral energy in auditory critical bands over 250 ms segments are approximated by an all-pole model, the time-domain dual of conventional linear prediction. This quarter-second auditory spectro-temporal pattern is further smoothed by iterative alternation of spectral and temporal all-pole modeling. Just as Perceptual Linear Prediction (PLP) uses an autoregress...

We describe a feature extraction method for general audio modeling using a temporal extension of Independent Component Analysis (ICA) and demonstrate its utility in the context of a sound classification task in a kitchen environment. Our approach accounts for temporal dependencies over multiple analysis frames much like the standard audio modeling technique of adding first and second temporal d...

The temporal trajectories of the spectral energy in auditory critical bands over 250 ms segments are approximated by an all-pole model, the time-domain dual of conventional linear prediction. This quarter-second auditory spectro-temporal pattern is further smoothed by iterative alternation of spectral and temporal all-pole modeling. Just as Perceptual Linear Prediction (PLP) uses an autoregress...

We describe a feature extraction method for general audio modeling using a temporal extension of Independent Component Analysis (ICA) and demonstrate its utility in the context of a sound classification task in a kitchen environment. Our approach accounts for temporal dependencies over multiple analysis frames much like the standard audio modeling technique of adding first and second temporal d...

This paper presents an object-oriented modeling approach for specifying and analyzing information systems. It supports integrated modeling of the structural aspect and the behavioral aspect of objects, and allows formal analysis of the model properties. For modeling of time/temporal constraints between object activities, the formalism includes a representation of temporal knowledge such as the ...