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» Recurrent and Concurrent Neural Networks for Objects Recogni...
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NIPS
2004
13 years 9 months ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
ESANN
2003
13 years 9 months ago
Semi-automatic acquisition and labelling of image data using SOMs
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
Gunther Heidemann, Axel Saalbach, Helge Ritter
ICANN
2010
Springer
13 years 9 months ago
A Bilinear Model for Consistent Topographic Representations
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
Urs Bergmann, Christoph von der Malsburg
ROBOCUP
2000
Springer
70views Robotics» more  ROBOCUP 2000»
13 years 11 months ago
Virtual Werder
Abstract. The online coach within the simulation league has become more powerful over the last few years. Therefore, new options with regard to the recognition of the opponents str...
Christian Drücker, Sebastian Hübner, Esk...