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Robust Fisher discriminant analysis
Fisher linear sensitive data convex model a numerical example
2015/8/10
Fisher linear discriminant analysis (LDA) can be sensitive to the problem data. Robust Fisher LDA can systematically alleviate the sensitivity problem by explicitly incorporating a model of data uncer...
Optimal kernel selection in kernel Fisher discriminant analysis
Kernel linear discriminant high dimensional feature space the implicit definition the kernel
2015/8/10
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance of KFDA depends on t...
Real-Time image Annotation by Manifold-based Biased Fisher Discriminant Analysis
Real-Time image Annotation Manifold-based
2010/12/20
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval.However, two crucial issues are not well addressed in state-of-art annotation algori...
Real-time image annotation by manifold-based biased Fisher discriminant analysis
Image Annotation Manifold Co-Training Fisher Discriminant Analysis Real-Time Annotation
2013/7/17
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval. However, two crucial issues are not well addressed in state-of-art annotation algor...
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
Discriminant Analysis Face Recognition
2010/12/16
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently.However, the training process of KFDA is too time consuming (even intractable) for a large trainin...