3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
An increasing number of data sources now become available on the Web, but often their contents are only accessible through query interfaces. For a domain of interest, there often ...
Wensheng Wu, Clement T. Yu, AnHai Doan, Weiyi Meng
For memory constrained embedded systems code size is at least as important as performance. One way of increasing code density is to exploit compact instruction formats, e.g. ARM T...