Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Abstract—This paper describes an efficient image transformation method based on histogram information and some prior knowledge of tissue expression in different modalities for r...
The performance of RSA hardware is primarily determined by an efficient implementation of the long integer modular arithmetic and the ability to utilize the Chinese Remainder The...
As Java technology matures, an increasing number of applications that have traditionally been the domain of languages such as C++ are implemented in Java. Many of these applicatio...