2026
Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis
AAAI 2026technical
Marginal Fisher Analysis (MFA) is a classical dimensionality reduction (DR) method that leverages dual graphs to capture intra-class compactness and inter-class separability. However, MFA’s reliance on high-quality labels limits its practical application. For another, existing unsupervised DR method