Implicit Block Diagonal Low-Rank Representation

IEEE Transactions on Image Processing, pp. 477-489, 2017.

Cited by: 23|Views11


While current block diagonal constrained subspace clustering methods are performed explicitly on the original data space, in practice, it is often more desirable to embed the block diagonal prior into the reproducing kernel Hilbert feature space by kernelization techniques, as the underlying data structure in reality is usually nonlinear....More



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