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AAMAS
2007
Springer
15 years 3 months ago
Parallel Reinforcement Learning with Linear Function Approximation
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...
Matthew Grounds, Daniel Kudenko
CVPR
2009
IEEE
16 years 10 months ago
Stochastic Gradient Kernel Density Mode-Seeking
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...
Xiaotong Yuan, Stan Z. Li
MM
2005
ACM
126views Multimedia» more  MM 2005»
15 years 8 months ago
A corpus-based singing voice synthesis system for mandarin Chinese
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
MAM
2007
113views more  MAM 2007»
15 years 3 months ago
A reconfigurable computing framework for multi-scale cellular image processing
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...
INFOCOM
2012
IEEE
13 years 5 months ago
CARPO: Correlation-aware power optimization in data center networks
—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...
Xiaodong Wang, Yanjun Yao, Xiaorui Wang, Kefa Lu, ...