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- W2365054446 abstract "The conventional kernel ISOMAP algorithm(K-ISOMAP) can not work well in keeping the intrinsic topology of datasets from multi-class clusters datasets in the low-dimensional space.In order to avoid this shortcoming,a novel algorithm named kernel multi-class multi-manifold ISOMAP(K-MCMM-ISOMAP) is proposed in this paper,which is the kernel version of MCMM-ISOMAP.The new algorithm doesn't only keep the intrinsic topology of datasets in low-dimensional mapping space,but also has the generalization of K-ISOMAP.It can directly map the test data to low-dimensional space.Therefore it can be applied to the image retrieval system consisting of multi-class image dataset.The experimental results show that the new algorithm is more effective than the K-ISOMAP." @default.
- W2365054446 created "2016-06-24" @default.
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- W2365054446 date "2011-01-01" @default.
- W2365054446 modified "2023-09-23" @default.
- W2365054446 title "An Improved Kernel ISOMAP Algorithm with Application to Image Retrieval" @default.
- W2365054446 hasPublicationYear "2011" @default.
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