2 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
The Normalized Cross Density Functional: A Framework to Quantify Statistical Dependence for Random Processes
Bo Hu, Jose C. Principe
This paper presents a novel approach to measuring statistical dependence between two random processes (r.p.) using a positive-definite function called the Normalized Cross Density…
Information Theoretic Structured Generative Modeling
Bo Hu, Shujian Yu, Jose C. Principe
Rényi's information provides a theoretical foundation for tractable and data-efficient non-parametric density estimation, based on pair-wise evaluations in a reproducing kernel Hil…