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IJCNN
2006
IEEE
14 years 3 months ago
Training Reformulated Product Units in Hybrid Neural Networks
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...
Philip T. Elliott, Diven Topiwala, Will N. Browne
VLSM
2005
Springer
14 years 3 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
ESM
2000
13 years 11 months ago
Zero-overhead Pr/T-Net execution
Petri Nets and higher order versions like Predicate Transition Nets (Pr/T-Nets) are very suitable for modeling event-oriented discrete and even parallel systems. Obviously, the ne...
Carsten Böke, Markus Hübel, Franz J. Ram...
ECEASST
2008
83views more  ECEASST 2008»
13 years 9 months ago
Layered Architecture Consistency for MANETs: Introducing New Team Members
In this paper we extend our results (as given in [PHE+07]) concerning the layered architecture for modeling workflows in Mobile Ad-Hoc NETworks (MANETs) using algebraic higher ord...
Enrico Biermann, Kathrin Hoffmann, Julia Padberg
IJON
2007
79views more  IJON 2007»
13 years 9 months ago
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
Stationary spiking of single neurons is often modelled by a renewal point process. Here, we tested the underlying model assumption that the inter-spike intervals are mutually inde...
Martin P. Nawrot, Clemens Boucsein, Victor Rodrigu...