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Multiple view data with different feature representations have widely arisen in various practical applications. Due to the information diversity, fusing multiview features is very valuable for classification purpose. In this paper, we propose a new multifeature fusion method called fractional-order discriminative multiview correlation projection (FDMCP), which is based on fractional-order scatter...
Canonical correlation analysis (CCA) is an important method for multiple feature extraction and fusion. The canonical projective vectors in classical CCA method satisfy conjugated orthogonality constraints. However, the conjugated orthogonality property is badly affected by the small sample size (SSS) problem so that the projections in the classical CCA method are usually not optimal in such case...
Lacunae is a typical sign of iris, and the detection of lacunae is of great importance in automatic iris diagnosis. In this paper, we first introduce the lacunae detection in iris images. Although current literature has a variety of edge detection algorithms, they do not always lead to acceptable results in extracting various features in an image. Lacunae usually have poor local contrast and the application...
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