Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
The recovery of writing trajectory from offline handwritten image is generally regarded as a difficult problem [1]. This paper introduced a method to recover the writing trajector...
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
This paper studies the use of highly dynamic networks as infrastructures for persistent storage of data that offer services at specific geographical zones in a decentralized and...