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» The Space of Cognitive Vision
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IJCNN
2007
IEEE
14 years 4 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICASSP
2009
IEEE
14 years 1 months ago
What happens when cognitive terminals compete for a relaying node?
We introduce a new channel, which consists of an interference channel (IC) in parallel with an interference relay channel (IRC), to analyze the interaction between two selfish and...
Elena Veronica Belmega, Brice Djeumou, Samson Lasa...
ICC
2011
IEEE
201views Communications» more  ICC 2011»
12 years 9 months ago
Channel Aggregation in Cognitive Radio Networks with Practical Considerations
—In cognitive radio (CR) networks, licensed spectrum that can be shared by secondary users (SUs) is always restricted by the needs of primary users (PUs). Although channel aggreg...
Bo Gao, Yaling Yang, Jung-Min Park 0001
CVPR
2003
IEEE
14 years 11 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
CVPR
2000
IEEE
14 years 11 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer