109 citations · 203 across the 29 of their papers we have counts for
9 papers · 1 filter
The Functional Wiener Filter
Benjamin Colburn, Luis G. Sanchez Giraldo, Jose C. Principe
This paper presents a close form solution in Reproducing Kernel Hilbert Space (RKHS) for the famed Wiener filter, which we called the functional Wiener filter(FWF). Instead of usin…
Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport
Rishabh Singh, Jose C. Principe
Reliable measurement of dependence between variables is essential in many applications of statistics and machine learning. Current approaches for dependence estimation, especially…
Analysis of Intra-Operative Physiological Responses Through Complex Higher-Order SVD for Long-Term Post-Operative Pain Prediction
Raheleh Baharloo, Jose C. Principe, Parisa Rashidi +1
Long-term pain conditions after surgery and patients' responses to pain relief medications are not yet fully understood. While recent studies developed an index for nociception lev…
Interpretable Fault Detection using Projections of Mutual Information Matrix
Feiya Lv, Shujian Yu, Chenglin Wen +1
This paper presents a novel mutual information (MI) matrix based method for fault detection. Given a -dimensional fault process, the MI matrix is a matrix in which…
Functional Bayesian Filter
Kan Li, Jose C. Principe
We present a general nonlinear Bayesian filter for high-dimensional state estimation using the theory of reproducing kernel Hilbert space (RKHS). Applying kernel method and the rep…
Unsupervised decoding of spinal motor neuron spike trains for estimating hand kinematics following targeted muscle reinnervation
Arash Andalib, Dario Farina, Ivan Vujaklija +4
The performance of upper-limb prostheses is currently limited by the relatively poor functionality of unintuitive control schemes. This paper proposes to extract, from multichannel…