AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
— Most of the existing video streaming systems employ the worst case analysis in application layer buffer size dimensioning. Even though the worst case buffer size dimensioning p...
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
The structures of space and time are identified as essential for the realization of cognitive systems. It is suggested that the omnipresence of space and time may have been respons...
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...