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Incremental null Foley‐Sammon transform

2016; Institution of Engineering and Technology; Volume: 52; Issue: 7 Linguagem: Inglês

10.1049/el.2015.2053

1350-911X

Yi Wang, Panpan Shui, Xin Fan, Tianzhu Wang,

Digital Filter Design and Implementation

The Foley-Sammon transform (FST) is one of the most well-known dimensionality reduction and feature extraction methods. However, the classical FST cannot be used directly in the small sample size problem where the within-class scatter matrix is singular. Null-space based FST (NFST) provides a good solution to this problem. Proposed is a fast incremental NFST (INFST). INFST extracts new information brought by newly-added samples and integrates it with the existing model by an efficient updating scheme. INFST can achieve the aims of online classification and novelty detection. Experiments on real-world data demonstrate the effectiveness of INFST.