b'Hau-tieng Wu'

research

∙ 09/13/2023

Ridge detection for nonstationary multicomponent signals with time-varying wave-shape functions and its applications

We introduce a novel ridge detection algorithm for time-frequency (TF) a...

0 Yan-Wei Su, et al. ∙

research

∙ 09/08/2023

Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic Decomposition

Dealing with time series with missing values, including those afflicted ...

0 Joaquin Ruiz, et al. ∙

research

∙ 06/05/2023

Topological Data Analysis Assisted Automated Sleep Stage Scoring Using Airflow Signals

Objective: Breathing pattern variability (BPV), as a universal physiolog...

0 Yu-Min Chung, et al. ∙

research

∙ 03/22/2023

Convergence of Hessian estimator from random samples on a manifold

We provide a systematic convergence analysis of the Hessian operator est...

0 Chih-Wei Chen, et al. ∙

research

∙ 08/17/2022

Geometric Scattering on Measure Spaces

The scattering transform is a multilayered, wavelet-based transform init...

7 Joyce Chew, et al. ∙

research

∙ 07/07/2022

Optimal shrinkage of singular values under high-dimensional noise with separable covariance structure

We consider an optimal shrinkage algorithm that depends on an effective ...

0 Pei-Chun Su, et al. ∙

research

∙ 06/21/2022

The Manifold Scattering Transform for High-Dimensional Point Cloud Data

The manifold scattering transform is a deep feature extractor for data d...

12 Joyce Chew, et al. ∙

research

∙ 03/20/2022

Application of de-shape synchrosqueezing to estimate gait cadence from a single-sensor accelerometer placed in different body locations

Objective: Commercial and research-grade wearable devices have become in...

0 Hau-tieng Wu, et al. ∙

research

∙ 01/21/2022

Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators

Multivariate time-series have become abundant in recent years, as many d...

0 Tal Shnitzer, et al. ∙

research

∙ 01/06/2022

Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony

Diverse disciplines are interested in how the coordination of interactin...

0 Adrien Meynard, et al. ∙

research

∙ 12/03/2021

Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application

Analysis of signals with oscillatory modes with crossover instantaneous ...

0 Ziyu Chen, et al. ∙

research

∙ 12/03/2021

Fundamental component enhancement via adaptive nonlinear activation functions

In many real world oscillatory signals, the fundamental component of a s...

0 Stefan Steinerberger, et al. ∙

research

∙ 11/22/2021

How do kernel-based sensor fusion algorithms behave under high dimensional noise?

We study the behavior of two kernel based sensor fusion algorithms, nonp...

0 Xiucai Ding, et al. ∙

research

∙ 09/21/2021

Discovery of temporal structure intricacy in arterial blood pressure waveforms representing acuity of liver transplant and forecasting short term surgical outcome via unsupervi

Background: Arterial blood pressure (ABP) waveform evolves across each c...

0 Shen-Chih Wang, et al. ∙

research

∙ 11/21/2020

Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization

Motivated by analyzing complicated and non-stationary time series, we st...

0 Gi-Ren Liu, et al. ∙

research

∙ 11/21/2020

Phase transition of graph Laplacian of high dimensional noisy random point cloud

We systematically explore the spectral distribution of kernel-based grap...

0 Xiucai Ding, et al. ∙

research

∙ 11/03/2020

Convergence of Graph Laplacian with kNN Self-tuned Kernels

Kernelized Gram matrix W constructed from data points {x_i}_i=1^N as W_i...

0 Xiuyuan Cheng, et al. ∙

research

∙ 10/14/2020

Diffusion Based Gaussian Processes on Restricted Domains

In nonparametric regression and spatial process modeling, it is common f...

9 David B. Dunson, et al. ∙

research

∙ 08/11/2020

Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression

Airflow signal encodes rich information about respiratory system. While ...

0 Whitney K. Huang, et al. ∙

research

∙ 07/13/2020

Strong Uniform Consistency with Rates for Kernel Density Estimators with General Kernels on Manifolds

We provide a strong uniform consistency result with the convergence rate...

1 Hau-tieng Wu, et al. ∙

research

∙ 06/23/2020

Unsupervised ensembling of multiple software sensors: a new approach for electrocardiogram-derived respiration using one or two channels

While several electrocardiogram-derived respiratory (EDR) algorithms hav...

0 John Malik, et al. ∙

research

∙ 05/10/2020

Convergence analysis of Adaptive Locally Iterative Filtering and SIFT method

Adaptive Local Iterative Filtering (ALIF) is a currently proposed novel ...

0 Antonio Cicone, et al. ∙

research

∙ 05/05/2020

Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation

We consider detecting the evolutionary oscillatory pattern of a signal w...

0 Zhou Zhou, et al. ∙

research

∙ 03/31/2020

When Ramanujan meets time-frequency analysis in complicated time series analysis

To handle time series with complicated oscillatory structure, we propose...

0 Ziyu Chen, et al. ∙

research

∙ 02/25/2020

An Adaptive QRS Detection Algorithm for Ultra-Long-Term ECG Recordings

Background: Accurate detection of QRS complexes during mobile, ultra-lon...

0 John Malik, et al. ∙

research

∙ 01/03/2020

Scalability and robustness of spectral embedding: landmark diffusion is all you need

While spectral embedding is a widely applied dimension reduction techniq...

0 Chao Shen, et al. ∙

research

∙ 12/11/2019

Diffusion based Gaussian process regression via heat kernel reconstruction

We propose an algorithm for Gaussian Process regression on an unknown em...

0 David B. Dunson, et al. ∙

research

∙ 09/25/2019

On the spectral property of kernel-based sensor fusion algorithms of high dimensional data

In this paper, we apply local laws of random matrices and free probabili...

0 Xiucai Ding, et al. ∙

research

∙ 07/31/2019

Optimization-based quasi-uniform spherical t-design and generalized multitaper for complex physiological time series

Motivated by the demand to analyze complex physiological time series, we...

0 Matt Sourisseau, et al. ∙

research

∙ 07/01/2019

Wave-shape oscillatory model for biomedical time series with applications

The oscillations observed in physiological time series exhibit morpholog...

0 Yu-Ting Lin, et al. ∙

research

∙ 05/30/2019

Meniere's Disease Prognosis by Learning from Transient-Evoked Otoacoustic Emission Signals

Accurate prognosis of Meniere disease (MD) is difficult. The aim of this...

0 Sheng-Lun Kao, et al. ∙

research

∙ 04/21/2019

Inference of synchrosqueezing transform -- toward a unified statistical analysis of nonlinear-type time-frequency analysis

We provide a statistical analysis of a tool in nonlinear-type time-frequ...

0 Matt Sourisseau, et al. ∙

research

∙ 04/21/2019

Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage

We propose a novel algorithm to recover fetal electrocardiogram (ECG) fo...

0 Pei-Chun Su, et al. ∙

research

∙ 04/19/2019

Optimal Recovery of Mahalanobis Distance in High Dimension

In this paper, we study the problem of Mahalanobis distance (MD) estimat...

0 Matan Gavish, et al. ∙

research

∙ 02/14/2019

Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video

Extracting the instantaneous heart rate (iHR) from face videos has been ...

0 Natalia Martinez, et al. ∙

research

∙ 11/27/2018

Recycling cardiogenic artifacts in impedance pneumography

Purpose: We want to capture as much information as possible from biomedi...

0 Yao Lu, et al. ∙

research

∙ 11/11/2018

When Locally Linear Embedding Hits Boundary

Based on the Riemannian manifold model, we study the asymptotical behavi...

0 Hau-tieng Wu, et al. ∙

research

∙ 11/07/2018

Solving Jigsaw Puzzles By The Graph Connection Laplacian

We propose a novel mathematical framework to address the problem of auto...

2 Vahan Huroyan, et al. ∙

research

∙ 08/27/2018

Calibration for massive physiological signal collection in hospital -- Sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data

Objective: Calibration is one of the most important initial steps in any...

0 Yu-Ting Lin, et al. ∙

research

∙ 08/01/2018

Sleep-wake classification via quantifying heart rate variability by convolutional neural network

Fluctuations in heart rate are intimately tied to changes in the physiol...

0 John Malik, et al. ∙

research

∙ 04/09/2018

Connecting Dots -- from Local Covariance to Empirical Intrinsic Geometry and Locally Linear Embedding

Local covariance structure under the manifold setup has been widely appl...

0 John Malik, et al. ∙

research

∙ 03/17/2018

A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals

This paper presents a novel signal compression algorithm based on the Bl...

0 Chunyu Tan, et al. ∙

research

∙ 02/28/2018

Diffuse to fuse EEG spectra -- intrinsic geometry of sleep dynamics for classification

Background: Based on the clinical needs, we introduce a novel sleep stag...

0 Gi-Ren Liu, et al. ∙

research

∙ 02/27/2018

Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System

Purpose: We propose a phenotype-based artificial intelligence system tha...

0 Hau-tieng Wu, et al. ∙

research

∙ 12/19/2017

Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time

The linear part of transient evoked (TE) otoacoustic emissions (OAEs) ar...

0 Hau-tieng Wu, et al. ∙

research

∙ 02/07/2017

Efficient fetal-maternal ECG signal separation from two channel maternal abdominal ECG via diffusion-based channel selection

There is a need for affordable, widely deployable maternal-fetal ECG mon...

0 Ruilin Li, et al. ∙

research

∙ 01/13/2017

Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment

The problem of information fusion from multiple data-sets acquired by mu...

0 Ori Katz, et al. ∙

research

∙ 09/09/2016

Extract fetal ECG from single-lead abdominal ECG by de-shape short time Fourier transform and nonlocal median

The multiple fundamental frequency detection problem and the source sepa...

0 Su Li, et al. ∙

research

∙ 01/30/2016

Latent common manifold learning with alternating diffusion: analysis and applications

The analysis of data sets arising from multiple sensors has drawn signif...

0 Ronen Talmon, et al. ∙

research

∙ 05/23/2014

Connection graph Laplacian methods can be made robust to noise

Recently, several data analytic techniques based on connection graph lap...

0 Noureddine El Karoui, et al. ∙

Hau-tieng Wu

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