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- W2048846019 abstract "We propose a randomized algorithm of spectral clustering and apply it to appearance-based image/video segmentation. Spectral clustering is a kernel-based method of grouping data on separate nonlinear manifolds. However, its high computational expensive restricts the applications. Our algorithm exploits random projection and subsampling techniques for reducing dimensionality and cardinality of data. The computation time can be independent of data dimensionality in appearance-based methods, and is quasilinear with respect to the data cardinality. We demonstrate our spectral clustering algorithm in image and video shot segmentation." @default.
- W2048846019 created "2016-06-24" @default.
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- W2048846019 date "2009-09-01" @default.
- W2048846019 modified "2023-10-16" @default.
- W2048846019 title "Randomized algorithm of spectral clustering and image/video segmentation using a minority of pixels" @default.
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- W2048846019 doi "https://doi.org/10.1109/iccvw.2009.5457665" @default.
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