Projective Nonnegative Graph Embedding


We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data into two nonnegative components favoring the characteristics encoded by the so-called intrinsic and penalty graphs , respectively, and 2) explicitly describes how to transform each… (More)
DOI: 10.1109/TIP.2009.2039050


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@article{Liu2010ProjectiveNG, title={Projective Nonnegative Graph Embedding}, author={Xiaobai Liu and Shuicheng Yan and Hai Jin}, journal={IEEE Transactions on Image Processing}, year={2010}, volume={19}, pages={1126-1137} }