In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
As a well known fixed-point iteration algorithm for kernel
density mode-seeking, Mean-Shift has attracted wide attention
in pattern recognition field. To date, Mean-Shift algorit...
In this paper, the design and implementation of a corpus-based singing voice synthesis (SVS) system for Mandarin Chinese was introduced. The design rules of three corpora for sing...
Cheng-Yuan Lin, Tzu-Ying Lin, Jyh-Shing Roger Jang
Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism. Thes...
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Ha...
—Power optimization has become a key challenge in the design of large-scale enterprise data centers. Existing research efforts focus mainly on computer servers to lower their ene...