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» Iterative Improvement of Neural Classifiers
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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 5 days ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
ICPR
2002
IEEE
16 years 1 months ago
An Iterative Algorithm for Optimal Style Conscious Field Classification
Modeling consistency of style in isogenous fields of patterns (such as character patterns in a word from the same font or writer) can improve classification accuracy. Since such p...
Prateek Sarkar
DAS
2008
Springer
15 years 2 months ago
The Convergence of Iterated Classification
We report an improved methodology for training a sequence of classifiers for document image content extraction, that is, the location and segmentation of regions containing handwr...
Chang An, Henry S. Baird
SIGIR
2003
ACM
15 years 5 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
ICIC
2005
Springer
15 years 5 months ago
Leaf Recognition Based on the Combination of Wavelet Transform and Gaussian Interpolation
: In this paper, a new approach for leaf recognition using the result of segmentation of leaf’s skeleton based on the combination of wavelet transform (WT) and Gaussian interpola...
Xiao Gu, Ji-Xiang Du, Xiaofeng Wang