Introduces a topological regularization framework for NMF that uses persistent homology to enforce desired structures in basis functions within a unified optimization objective.
IEEE Tra nsactions on Pattern Analysis and Machine Intelligence 33(8), 1548–1560 (20 11)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
GNRBMF extends NRBMF by adding graph Laplacian regularization on the coefficient matrix to encourage similar representations for nearby samples while retaining non-negativity in the reduced biquaternion domain.
citing papers explorer
-
Graph Regularized Non-negative Reduced Biquaternion Matrix Factorization for Color Image Recognition
GNRBMF extends NRBMF by adding graph Laplacian regularization on the coefficient matrix to encourage similar representations for nearby samples while retaining non-negativity in the reduced biquaternion domain.