With rapid increase of parallel computation systems in their sizes, it is inevitable to develop algorithms that are applicable even if there exist faulty elements in the systems. ...
We study here Flickr groups in order to see whether they are actual communities or rather essentially thematic clusters. We describe a methodological framework for the analysis of...
Christophe Prieur, Nicolas Pissard, Jean-Samuel Be...
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valu...
Finn Verner Jensen, Thomas D. Nielsen, Prakash P. ...
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aerospace Vehicle project. DAC...