Irene Yu-Hua Gu

2024

Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data

2023

A novel federated deep learning scheme for glioma and its subtype classification

Support vector machine for classification of households' heating type using load curves

Introduction to Deep Learning in Clinical Neuroscience

2022

A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas

2022

Prediction of glioma‑subtypes: comparison of performance on a DL classifier using bounding box areas versus annotated tumors

2022

A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances

2021

Unsupervised Deep Learning and Analysis of Harmonic Variation Patterns using Big Data from Multiple Locations

2021

VISUALIZING THE RESULTS FROM UNSUPERVISED DEEP LEARNING FOR THE ANALYSIS OF POWER-QUALITY DATA

2021

Automatic Identification of Different Types of Consumer Configurations by Using Harmonic Current Measurements

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

2021

Estimation of frequency-dependent impedances in power grids by deep lstm autoencoder and random forest

2020

Deep semi-supervised learning for brain tumor classification

2020

Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas

2020

Improved Peak Load Estimation from Single and Multiple Consumer Categories

2020

Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

Multiscale Deep Convolutional Networks for Characterization and Detection of Alzheimer's Disease using MR Images

Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification

2019

Artificial intelligence and ambient intelligence

Deepside: A general deep framework for salient object detection

Cross-Modality Augmentation of Brain MR Images Using a Novel Pairwise Generative Adversarial Network for Enhanced Glioma Classification

Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection

Human Fall Detection using Co-Saliency-Enhanced Deep Recurrent Convolutional Neural Networks

Generative Adversarial Model-Guided Deep Active Learning for Voltage Dip Labelling

Multi-Stream Multi-Scale Deep Convolutional Networks for Alzheimer's Disease Detection using MR Images

Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks

Spectral salient object detection

An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images

A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification

3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images

Improved characterization of Multi-Stage Voltage Dips based on the Space Phasor Model

Co-Saliency-Enhanced Deep Recurrent Convolutional Networks for Human Fall Detection in E-Healthcare

A LSTM-based Deep Learning Method with Application to Voltage Dip Classification

Big data from smart grids

Human fall detection using segment-level CNN features and sparse dictionary learning

Visual information-based activity recognition and fall detection for assisted living and ehealthcare

Saliency Detection by Fully Learning A Continuous Conditional Random Field

On waveform distortion in the frequency range of 2 kHz–150 kHz—Review and research challenges

2017

Time-Dependent Bag of Words on Manifolds for Geodesic-Based Classification of Video Activities towards Assisted Living and Healthcare

Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living

3D Limb Movement Tracking and Analysis for Neurological Dysfunctions of Neonates Using Multi-Camera Videos

Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging

A Novel Framework for repeated measurements in diffusion tensor imaging

Learning full-range affinity for diffusion-based saliency detection

Human Fall Detection in Videos by Fusing Statistical Features of Shape and Motion Dynamics on Riemannian Manifolds

Robust visual tracking via inverse nonnegative matrix factorization

Fall detection in RGB-D videos by combining shape and motion features

Causal and Anti-Causal Segmentation of Voltage Dips in Power Distribution Networks

Exploiting Riemannian Manifolds for Daily Activity Classification in Video Towards Health Care

Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living

Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction

Privacy-Preserving Fall Detection in Healthcare using Shape and Motion Features from Low-Resolution RGB-D Videos

Geodesic Distance Transform-based Salient Region Segmentation for Automatic Traffic Sign Recognition

2015

Optimal Experiment Design for Mono-Exponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

SALIENT OBJECT DETECTION USING NORMALIZED CUT AND GEODESICS

Determinant of the information matrix: a new rotation invariant optimality metric to design gradient encoding schemes

Fall Detection in RGB-D Videos for Elderly Care

2015

Novel segmentation technique for measured three-phase voltage dips

2015

K-Optimal Gradient Encoding Scheme for Fourth-Order Tensor-Based Diffusion Profile Imaging

Normalized Cut-based Saliency Detection by Adaptive Multi-Level Region Merging

Visual Tracking via Nonnegative Regularization Multiple Locality Coding

Human Fall Detection via Shape Analysis on Riemannian Manifolds with Applications to Elderly Care

Recognition of Chinese Traffic Signs from Street Views

Icosahedral gradient encoding scheme for an arbitrary number of measurements

Traffic Sign Recognition using Salient Region Features: A Novel Learning-based Coarse-to-Fine Scheme

Video-based Tracking and Quantified Assessment of Spontaneous Limb Movements in Neonates

Tests and analysis of a novel segmentation method using measurement data

Fourth order tensor-based diffusion MRI signal modeling

Detection and Recognition of Traffic Signs from Videos using Saliency-Enhanced Features

Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling

Online Domain-Shift Learning and Object Tracking based on Nonlinear Dynamic Models and Particle Filters on Riemannian Manifolds

Human Activity Recognition in Images Using SVMs and Geodesics on Smooth Manifolds

Visual Object Tracking with Online Learning on Riemannian Manifolds by One-Class Support Vector Machines

Automatic traffic sign recognition based on saliency-enhanced features and SVMs from incrementally built dataset

Effective Small Dim Target Detection by Local Connectedness Constraint

Graph Construction for Salient Object Detection in Videos

Head Pose Classification by Multi-Class AdaBoost with Fusion of RGB and Depth Images

Video-Based Detection and Analysis of Driver Distraction and Inattention

Spectral salient object detection

Domain-Shift Tracking: Online Learning and Visual Object Tracking on Smooth Manifolds

Practical Applications of Automatic Image Analysis of Overhead Power Lines

Adaptive Multi-Level Region Merging for Salient Object Detection

Pedestrian Detection using Augmented Training Data

2013

Riemannian Manifold-Based Support Vector Machine for Human Activity Classification in Images

2013

On High Order Tensor-based Diffusivity Profile Estimation

Multi-View Hand Tracking using Epipolar Geometry-Based Consistent Labeling for an Industrial Application

Domain-Shift Manifold Online Learning and Tracking of Video Objects

Geodesic Saliency Propagation for Image Salient Region Detection

Road Traffic Tracking and Parameter Estimation based on Visual Information Analysis using Self-Calibrated Camera Views

2013

Super-resolution reconstruction of high dynamic range images in a perceptually uniform domain

Superpixel based Color Contrast and Color Distribution Driven Salient Object Detection

Optimal Diffusion Tensor Imaging with Repeated Measurements

Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling

Superpixel based color contrast and color distribution driven salient object detection

2013

Practical applications of automatic image analysis for overhead lines

weighted least squares estimation of 4th order diffusion tensors

2013

Image Classification by Multi-Class Boosting of Visual and Infrared Fusion with Applications to Object Pose Recognition

A Novel framework for high order tensor-based diffusivity profile estimation

An Enhanced Segmentation Method by Combining Super Resolution and Level Set

Multi-View ML Object Tracking with Online Learning on Riemannian Manifolds by Combining Geometric Constraints

Super-resolution reconstruction of high dynamic range images with perceptual weighting of errors

2013

One-class support vector machine-assisted robust tracking

2012

Maximum-Likelihood Object Tracking from Multi-View Video by Combining Homography and Epipolar Constraints

2012

Multi-Class Ada-Boost Classification of Object Poses through Visual and Infrared Image Information Fusion

2012

Multi-view Face Pose Classification by Boosting with Weak Hypothesis Fusion Using Visual and Infrared Images

2012

Grassmann Manifold Online Learning and Partial Occlusion Handling for Visual Object Tracking under Bayesian Formulation

A new joint sliding-window ESPRIT and DFT scheme for waveform distortion assessment in power systems

2012

One-Class SVM Assisted Accurate Tracking

2012

Regularized Optimization for Joint Super-Resolution and High Dynamoc Range Image Reconstruction in a Percetually Uniform Domain.

2011

Adaptive appearance learning for visual object tracking

2011

Signal Processing and Classification Tools for Intelligent Distributed Monitoring and Analysis of the Smart Grid

A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity

Chapter 10 (in Part 2): Detecting Landmine Fields from Low-Resolution Aerial Infrared Images

2011

Tracking Visual and Infrared Objects using Joint Riemannian Manifold Appearance and Affine Shape Modeling

2011

Visual Tracking and Dynamic Learning on the Grassmann Manifold with Inference from a Bayesian Framework and State Space Models

Robust Visual Object Tracking using Multi-Mode Anisotropic Mean Shift and Particle Filters

2011

Bayesian Online Learning on the Riemannian Manifold using A Dual Model with Applications to Video Object Tracking

2011

A Method to Evaluate Harmonic Model-Based Estimations under Non-White Measured Noise

Chapter 5: Online Learning and Robust Visual Tracking using Local Features and Global Appearances of Video Objects

Joint Feature Correspondences and Appearance Similarity for Robust Visual Object Tracking

Visual tracking for video surveillance and vehicle safety

Analysis of Power Disturbances from Monitoring Multiple Levels and Locations in a Power System

Joint Causal and Anti-Causal Segmentation and Location of Transitions in Power Disturbances

Wood Defect Classification based on Image Analysis and Support Vector Machine

Trends, Challenges and Opportunities in Power Quality Research

Feature Characterization of Power Quality Events According to Their Underlying Causes

Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking

Adaptive Particle Filters for Visual Object Tracking using Joint PCA Appearance Model and Consensus Point Correspondences

BRIDGING THE GAP BETWEEN SIGNAL AND POWER: assessing power system quality using signal processing techniques

Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas

Joint Anisotropic Mean Shift and Consensus Point Feature Correspondences for Object Tracking in Video

Parameter Estimation of Multidimensional NMR Signals based on High-Resolution Subband Analysis of 2D NMR Projections

Online Detection of Snow Coverage and Swing Angles of Electrical Insulators on Power Transmission Lines Using Videos

Intelligent Video Surveillance for Detecting Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines

Robust Object Tracking using Particle Filters and Multi-Region Mean Shift

Joint random sample consensus and multiple motion models for robust video tracking

Enhanced Landmine Detection From Low Resolution IR Image Sequences

Estimating Interharmonics by Using Sliding-Window ESPRIT

Recursive Error-Compensated Dynamic Eigenbackground Learning and Adptive Background Subtraction in Video

Automatic Classification of Wood Defects using Support Vector Machines

Face Tracking Using Rao-Blackwellized Particle Filter and Pose-Dependent Probabilistic PCA

An Efficient Sequential Approach to Tracking Multiple Objects through Crowds for Real-Time Intelligent CCTV Systems

Edge-Preserving Segmentation and Fusion of Medical Images by using Enhanced Mean Shift

Online subspace learning in Grassmann manifold for moving object tracking in video

Automatic Surveillance and Analysis of Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines

Performance Evaluation for Frequency Estimation of Transients Using the ESPRIT: Measured Noise versus White Noise

2007

On the Empirical Estimation of Utility Distribution Damping Parameters using Power Quality Waveform Data

Tracking moving objects in video using enhanced mean shift and region-based motion field

Laboratory Tests and Web Based Surveillance to Determine the Ice- and Snow Performance of Insulators

Moving Object Tracking from Videos based on Enhanced Space-Time-Range Mean Shift and Motion Consistency

ML Nonlinear Smoothing for Image Segmentation and Its Relationship to The Mean Shift

On the Analysis of Voltage and Current Transients in Three-Phase Power Systems

Support Vector Machine for Classification of Voltage Disturbances

Trace of flicker sources by using the quantity of flicker power

2007

Emerging signal processing techniques for power quality applications

Efficient Adaptive Background Subtraction based on Multi-Resolution Background Modelling and Updating

AUTOMATIC CLASSIFICATION OF VOLTAGE EVENTS USING THE SUPPORT VECTOR MACHINE METHOD

2007

Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods

Object Tracking using Incremental 2D-PCA Learning and ML Eestimation

Enhanced Spatial-Range Mean Shift Color Image Segmentation by Using Convergence Frequency and Position

Region-based Statistical Background Modeling for Foreground Object Segmentation

Performance Tests of a Support Vector Machine used for Classification of Voltage Disturbances

Bayesian traffic dynamics and packet loss prediction for video over IP networks

Analysis and Classification of Power Quality Disturbances: Ideas, Methods and Technquies

Automatic classification of power network disturbances by using an algorithm based on statistical learning theory

3D Face Recognition Using Affine Integral Invariants

Signal Processing of Power Quality Disturbances

PCR-Based Multi-Object Tracking for Video Surveillance

Video Segmentation using Joint Space-Time-Range Adaptive Mean Shift

An Eigenbackground Subtraction Method using Recursive Error Compensation

Joint Space-Time-Range Mean Shift-based Image and Video Segmentation (Chapter 6)

Music signal synthesis using sinusoid models and sliding-window ESPRIT

A measurement method for determining the direction of propagation of flicker and for tracing a flicker source

Categorization and Analysis of Power System Transients

New-adaptive frame-expansion-based packet video coding for erasure channels

Error-resilient packet video coding using harmonic frame-expansions and temporal prediction

Characterization of Voltage Variations in the Very-Short Time-Scale

Statistical-Based Sequential Method for Fast Online Detection of Fault-Induced Voltage Dips

A Bayesian framework-based end-to-end packet loss prediction in IP networks

Advanced signal processing techniques for power quality variations and events

Statistical Modeling of Complex Background for Foreground Object Detection

Adaptive Background Subtraction based on Feedback from Fuzzy Classification

Further classification of voltage dips and interruptions

Positive and negative sequence estimation for unbalanced voltage dips

Event-based transient categorization and analysis in electric power systems

Classification of Bird Species by Using Key Song Searching: A Comparative Study

Hue Feature-Based Stereo Scheme for Detecting Half-occlusion and order-reversal of objects

Bridge the gap: signal processing for power quality applications

Landmine field detection using joint temporal and spatial-scale detectors

Global optimisation of video quality by improved rate control on IP-networks

Principal Color Representation for Tracking Persons

foreground object detection from videos containing complex background

Multiresolution Feature Extraction using a Family of Isotropic Bandpass Filters

Detecting and Location Land Mine Fields from Vehicle - and Air-Borne Measured Images

Robust Change Detection and Segmentation for Background Maintenance

Knowledge-Based Fuzzy Reasoning for Maintenance of Moderate-to-Fast Background Changes in Video Surveillance

Expert System for Classification and Analysis of Power System Events

Foreground Object Detection in Changing Background based on Color Co-Occurrence Statistics

Automatic Analysis of Power Quality Mearurements

Automatic Classification of Power System Events using Rms Voltage Measurements

Color Image Segmentation using Adaptive mean Shift Filters

Voltage Dip Detection and Power System Transients

Expert system for Voltage Dip Classification and Analysis

Infrared Detection of Buried Land Mines Based on Texture Modeling

Nonlinear smoothing filter using adaptive radial clustering

Detection of Landmine Candidates from Airborne and Vehicle-borne IR Images

A 3-D Matched Filter for Detection of Landmines using Spatio-Temporal Thermal Modeling

The Use of Time-Varying AR Models for the Characterization of Voltage Disturbances

Analyzing power disturbances using the residuals of AR models

Nonlinear Image Enhancement by Randomized Local Clustering

Transformer saturation after a voltage dip

Coarse-to-fine Planar Object Identification using Invariant Curve Features and B-spline Modeling

Classification of power system events: Voltage dips

Time-Frequency and Time-scale Domain Analysis of Voltage Disturbances

Classification of Power System Transients: Synchronized Switching

Analysis of Voltage Dips for Event Identification

A Fault Location Technique for Two and Three-Terminal Lines using High Frequency Fault Clearing Transients

A Fault Location Technique using High Frequency Fault Clearing Transients

Efficient Planar Object Tracking and Parameter Estimation using Compactly Represented Cubic B-Spline Curves

Aspects of an Airborne System for Detection of Landmines using Multispectral Imaging

Corner-Based Curve Feature Extraction for Object Retrieval

Joint Segmentation and B-Spline Object Contour Modelling for Object Tracking and Motion Compensation in Image Sequences

Object Tracking and Motion Estimation from Image Sequence Using B-Spline

Object Recognition and Motion Estimation via Joint Segmentation and B-spline Contour Modeling

Image compression via multiresolution feature-based vector quantization of Hermite-Binomial transform coefficients using Kohonen neural network

A New Adaptive Median Filtering Algorithm for Image Enhancement

Image Motion Compensation and Coding Based on Transform Domain Multiresolution Features and Classified Vector Quantisation

A New Multiband Volterra Filtering Algorithm and Its Applications to Communication Systems

Video Image Compression and Motion Compensation Using Multiresolution Image Features and Classified VQ