Recently, systems providing access to extremely large data collections, managed in a distributed manner, gain emerging attention. A promising approach to implement the physical la...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
With decreasing costs of high quality surveillance systems, human activity detection and tracking has become increasingly practical. Accordingly, automated systems have been desig...
Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jak...
With the recent advances in mobile technologies and infrastructures, citizens start to demand for not just mobile but also ubiquitous access to e-government services. Further with...
Dickson K. W. Chiu, Dan Hong, S. C. Cheung, Eleann...
This paper proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian method is a statistical technique for estimating reliable predictive distribut...
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takas...