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» Image classification using hybrid neural networks
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APIN
2004
116views more  APIN 2004»
13 years 9 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
SETN
2004
Springer
14 years 2 months ago
A Meta-classifier Approach for Medical Diagnosis
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
George L. Tsirogiannis, Dimitrios S. Frossyniotis,...
ICCV
2009
IEEE
13 years 7 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
CNIS
2006
13 years 10 months ago
An efficient hybrid algorithm for multidimensional packet classification
Multidimensional Packet Classification is one of the most critical functions for network security devices such as firewalls and intrusion detection systems. Due to the worst case ...
Yaxuan Qi, Jun Li
PR
2007
118views more  PR 2007»
13 years 8 months ago
Shape recognition using eigenvalues of the Dirichlet Laplacian
The eigenvalues of the Dirichlet Laplacian are used to generate three different sets of features for shape recognition and classification in binary images. The generated feature...
Mohamed A. Khabou, Lotfi Hermi, Mohamed Ben Hadj R...