The choice of an appropriate problem-solving method, from available methods, is a crucial skill for experts in many areas. We describe a technique for the automatic selection amon...
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Ha...
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...