It is now widely acknowledged that wavelets are not very effective in representing images containing distributed discontinuities such as edges. This paper deals with a new multisc...
Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid ...
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Management of architectural knowledge is vital for improving an organisation's capabilities in software architecture. Recently, there have been many efforts to develop variou...
In collaboration architectures, a computer must perform both processing and transmission tasks. Intuitively, it seems that these independent tasks should be executed in concurrent ...