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PCM
2007
Springer

FADA: An Efficient Dimension Reduction Scheme for Image Classification

9 years 7 months ago
FADA: An Efficient Dimension Reduction Scheme for Image Classification
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sample distributions and discover the classification in the subspace with naïve Bayes classifier. FADA overcomes the high computational cost problem of current Adaptive Discriminant Analysis (ADA) and also alleviates the overfitting problem implicitly caused by ADA. FADA is tested and evaluated using synthetic dataset, COREL dataset and three different face datasets. The experimental results show FADA is more effective and computationally more efficient than ADA for image classification.
Yijuan Lu, Jingsheng Ma, Qi Tian
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where PCM
Authors Yijuan Lu, Jingsheng Ma, Qi Tian
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