3 papers
cs.LG2026
Time-Series Classification with Multivariate Statistical Dependence Features
Yao Sun, Bo Hu, Jose Principe
In this paper, we propose a novel framework for non-stationary time-series analysis that replaces conventional correlation-based statistics with direct estimation of statistical de…
cs.LG2026
A Stable Neural Statistical Dependence Estimator for Autoencoder Feature Analysis
Bo Hu, Jose C Principe
Statistical dependence measures like mutual information is ideal for analyzing autoencoders, but it can be ill-posed for deterministic, static, noise-free networks. We adopt the va…
cs.CV2023
Feature Learning in Image Hierarchies using Functional Maximal Correlation
Bo Hu, Yuheng Bu, José C. Príncipe
This paper proposes the Hierarchical Functional Maximal Correlation Algorithm (HFMCA), a hierarchical methodology that characterizes dependencies across two hierarchical levels in…