Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering

5 Sep 2012Xi PengZhiding YuHuajin TangZhang Yi

Under the framework of graph-based learning, the key to robust subspace clustering and subspace learning is to obtain a good similarity graph that eliminates the effects of errors and retains only connections between the data points from the same subspace (i.e., intra-subspace data points). Recent works achieve good performance by modeling errors into their objective functions to remove the errors from the inputs... (read more)

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