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NIPS
2008
15 years 5 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
BILDMED
2006
120views Algorithms» more  BILDMED 2006»
15 years 5 months ago
Towards Automatic Segmentation of Serial High-Resolution Images
Developing barley grains are to be visualised by a 4-D model, in which spatiotemporal experimental data can be integrated. The most crucial task lies in the automation of the exten...
Cornelia Brüß, Marc Strickert, Udo Seif...
CVIU
2010
115views more  CVIU 2010»
15 years 4 months ago
A modified model for the Lobula Giant Movement Detector and its FPGA implementation
Bio-inspired vision sensors are particularly appropriate candidates for navigation of vehicles or mobile robots due to their computational simplicity, allowing compact hardware im...
Hongying Meng, Kofi Appiah, Shigang Yue, Andrew Hu...
NECO
2006
157views more  NECO 2006»
15 years 4 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
CNSR
2005
IEEE
210views Communications» more  CNSR 2005»
15 years 6 months ago
A Framework for Self-Management of Hybrid Wireless Networks Using Autonomic Computing Principles
The dramatic increase in the number of mobile subscribers has put a significant resource and service provisioning strain on current cellular networks in particular in terms of mu...
Chong Shen, Dirk Pesch, James Irvine