2 citations · 2 across the 4 of their papers we have counts for
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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…
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…