Multilinear Supervised Neighborhood Preserving Embedding Analysis of Local Descriptor Tensor [chapter]

Xian-Hua Han, Yen-Wei Che
2012 Principal Component Analysis  
With the local descriptor tensor of image representation, we propose to use a tensor subspace analysis algorithm, which is called as multilinear Supervised Neighborhood Preserving Embedding (MSNPE), for discriminant feature extraction, and then use it for object or scene recognition. As we know, subspace learning approaches, such as PCA and LDA by Belhumeur et al. (1997) , have widely used in computer vision research filed for feature extraction or selection and have been proven to be efficient for modeling or classification.
doi:10.5772/37457 fatcat:3icdyoecb5ajznn5e3jbi7m6pe