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...
Information technology has been a central enabler in the process toward network society. Despite the critical role of computers in inter-organizational arrangements, coordination ...
We present a unification-based, context-sensitive escape and effect analysis that infers lightweight method summaries describing heap effects. The analysis is parameterized on two...
Abstract. Pervasive computing creates possibilities for presenting highly personalised information about the people, places and things in a building. One of the challenges for such...
Modeling and recognizing landmarks at world-scale is a
useful yet challenging task. There exists no readily available
list of worldwide landmarks. Obtaining reliable visual
mode...
Yantao Zheng, Ming Zhao 0003, Yang Song, Hartwig A...