Spatio-temporal data streams that are generated from mobile stream sources (e.g., mobile sensors) experience similar environmental conditions that result in distinct phenomena. Sev...
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This proble...
When continuous 3D shapes or enclosed structures, such as solid objects or skeletons, are mapped onto a 2D screen, simplifications such as hulls and wire frames are suitable visual...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Dynamic Topological Logic provides a context for studying the confluence of the topological semantics for S4, based on topological spaces rather than Kripke frames; topological dy...