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» Iterative Improvement of Neural Classifiers
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NN
2008
Springer
201views Neural Networks» more  NN 2008»
14 years 9 months 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
15 years 10 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
14 years 11 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 3 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 3 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