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Non-negative Patch Alignment Framework

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UTS Institutional Repository
Keywords
  • Artificial Intelligence & Image Processing
  • Image Interpretation, Computer-Assisted
  • Algorithms
  • Databases, Factual
  • Pattern Recognition, Automated
  • Algorithms
  • Databases, Factual
  • Image Interpretation, Computer-Assisted
  • Pattern Recognition, Automated
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Abstract

In this paper, we present a non-negative patch alignment framework (NPAF) to unify popular non-negative matrix factorization (NMF) related dimension reduction algorithms. It offers a new viewpoint to better understand the common property of different NMF

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