We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
Compared to conventional wireless sensor networks (WSNs) that are operated based on the client-server computing model, mobile agent (MA) systems provide new capabilities for energy...
Min Chen, Victor C. M. Leung, Shiwen Mao, Taekyoun...
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
We define some interesting incentive issues that arise in the management of virtual infrastructures. We demonstrate that participants’ decisions about the quantities of infrast...
Abstract. Designers of large parallel computers and clusters are becoming increasingly concerned with the cost and power consumption of the interconnection network. A simple way to...