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» Image classification using hybrid neural networks
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NIPS
2004
14 years 11 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
102
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BMCBI
2004
176views more  BMCBI 2004»
14 years 9 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy
ICIAR
2007
Springer
15 years 1 months ago
Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video
In video-based of face recognition applications, the What-and-Where Fusion Neural Network (WWFNN) has been shown to reduce the generalization error by accumulating a classifier�...
Mamoudou Barry, Eric Granger
ESANN
2003
14 years 11 months ago
Accelerating the convergence speed of neural networks learning methods using least squares
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
Oscar Fontenla-Romero, Deniz Erdogmus, José...
ICNSC
2007
IEEE
15 years 4 months ago
Associative Memory for Noisy and Structurally Deformed Two-Dimensional Images Using Neural Networks
—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
Hiroshi Inaba, Tomoki Takahashi, Keylan Alimhan