Meiyan Huang

Dual-Manifold Geometry Guided Representation Learning: Adaptive Coupling between Kernel and Data Spaces

KGFT is proposed, a lightweight module that derives a geometric guidance matrix from the kernel Gram matrix and uses it to transform the covariance structure of feature representations, validating the generality and effectiveness of kernel-guided dual-manifold representation learning.