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» Semi-supervised Discriminant Analysis
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ICDAR
2007
IEEE
14 years 3 months ago
Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
D. Yang, L. Jin
CVPR
2001
IEEE
14 years 11 months ago
Small Sample Learning during Multimedia Retrieval using BiasMap
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
Xiang Sean Zhou, Thomas S. Huang
ICML
2007
IEEE
14 years 9 months ago
Optimal dimensionality of metric space for classification
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo,...
ICML
2007
IEEE
14 years 9 months ago
Two-view feature generation model for semi-supervised learning
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
Rie Kubota Ando, Tong Zhang
ICDAR
2009
IEEE
14 years 3 months ago
Impact of Alphabet Knowledge on Online Writer Identification
Character prototype approaches for writer identification produces a consistent set of templates that are used to model the handwriting styles of writers, thereby allowing high acc...
Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot