Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
We consider an environment where a subscription system continuously evaluates pattern-based requests over unbounded sequential data. We propose an extension of the traditional pat...
The design of the POSTGRES data model is described. The data model is a relational model that has been extended with abstract data types including user-defined operators and proce...
Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...