AI RESEARCH
Graph Regularized Non-negative Reduced Biquaternion Matrix Factorization for Color Image Recognition
arXiv CS.CV
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ArXi:2606.03654v1 Announce Type: new Non-negative reduced biquaternion matrix factorization (NRBMF) uses the product of reduced biquaternion (RB) matrices to incorporate the non-negativity constraints of color image pixels into the factorization process. However, NRBMF mainly focuses on reconstruction accuracy and does not exploit the local geometric structure of image data, which may limit the discriminative ability of the learned low-dimensional features.