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» Feature selection with neural networks
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ICPR
2006
IEEE
14 years 11 months ago
Off-line Signature Verification based on the Modified Direction Feature
Signature identification and verification has been a topic of interest and importance for many years in the area of biometrics. In this paper we present an effective method to per...
Stephane Armand, Michael Blumenstein, Vallipuram M...
PRIS
2004
13 years 11 months ago
Character Rotation Absorption Using a Dynamic Neural Network Topology: Comparison With Invariant Features
Abstract. This paper treats on rotation absorption in neural networks for multioriented character recognition. Classical approaches are based on several rotation invariant features...
Christophe Choisy, Hubert Cecotti, Abdel Belaï...
ICANN
2011
Springer
13 years 1 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
BMCBI
2006
94views more  BMCBI 2006»
13 years 10 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
ANNPR
2006
Springer
14 years 1 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...