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    ICCV
    2007
    IEEE
    130views Computer Vision» more  ICCV 2007»
    pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm
    14 years 6 months ago
    pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm
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    We introduce the Tsallis divergence error measure in the context of pLSA matrix and tensor decompositions showing much improved performance in the presence of noise. The focus of ...
    Tamir Hazan, Roee Hardoon, Amnon Shashua
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