A fundamental problem of Non-negative Matrix Factorization (NMF) is that it does not always extract basis components manifesting localized features which are essential in face recognition.

 
  • 摘要:非負矩陣分解演算法的主要問(wèn)題為,無(wú)法確保產(chǎn)生,對于人臉辨識很重要,具備局部強化特徵的基底。
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