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Shu-Po Bu

Bio: Shu-Po Bu is an academic researcher. The author has contributed to research in topics: Kernel method & Image retrieval. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

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TL;DR: A novel image recognition method of kernel common discriminant based image classification by extending DCV with kernel trick with the space isomorphic mapping view in the kernel feature space and developing a two-phase algorithm of KPCA + DCV.

1 citations


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TL;DR: A nonlinear version of discriminative elastic embedding (DEE) algorithm is presented, called kernel discriminatives elastic embeddedding (KDEE), and a deliberately selected Laplacian search direction is adopted in KDEE1 for faster convergence.
Abstract: A nonlinear version of discriminative elastic embedding (DEE) algorithm is presented, called kernel discriminative elastic embedding (KDEE) In this paper, we concretely fulfill the following works: (1) class labels and linear projection matrix are integrated into the kernel-based objective function; (2) two different strategies are adopted for optimizing the objective function of KDEE, and accordingly the final algorithms are termed as KDEE1 and KDEE2 respectively; (3) a deliberately selected Laplacian search direction is adopted in KDEE1 for faster convergence Experimental results on several publicly available databases demonstrate that the proposed algorithm achieves powerful pattern revealing capability for complex manifold data

1 citations