Many problems require recursively speci ed types ofdata and a collection of tools that operate on those data. Over time, these problems evolve so that the programmer must extend t...
Shriram Krishnamurthi, Matthias Felleisen, Daniel ...
The class of k Nearest Neighbor (kNN) queries in spatial networks has been widely studied in the literature. All existing approaches for kNN search in spatial networks assume that ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
Some classes of real-time systems function in environments which cannot be modeled with static approaches. In such environments, the arrival rates of events which drive transient ...
Lonnie R. Welch, Binoy Ravindran, Paul V. Werme, M...
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
A polymorphic function is parametric if its behavior does not depend on the type at which it is instantiated. Starting with Reynolds's work, the study of parametricity is typ...