2 papers
cs.LG2026
Task-Driven Kernel Flows: Label Rank Compression and Laplacian Spectral Filtering
Hongxi Li, Chunlin Huang
We present a theory of feature learning in wide L2-regularized networks showing that supervised learning is inherently compressive. We derive a kernel ODE that predicts a "water-fi…
cs.CV2025
Hybrid second-order gradient histogram based global low-rank sparse regression for robust face recognition
Hongxia Li, Ying Ji, Yongxin Dong +1
Low-rank sparse regression models have been widely adopted in face recognition due to their robustness against occlusion and illumination variations. However, existing methods ofte…