publications

Urban street scene analysis using lightweight multi-level multi-path feature aggregation network

SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation

Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks

A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation

Multi-Path Routing in Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks

FANet: Feature Aggregation Network for Semantic Segmentation

An Efficient Feature Extraction Method for the Detection of Material Rings in Rotary Kilns

Efficient Segmentation Pyramid Network

Interpreting text and image relations in violent extremist discourse: A mixed methods approach for big data analytics

Modelling and Flame Segmentation for Real-Time Monitoring of Rotary Kilns

Using distribution analysis for parameter selection in repstream

A digital mixed methods research design: Integrating multimodal analysis with data mining and information visualization for big data analytics

An Investigation of Power Law Probability Distributions for Network Anomaly Detection

Graph-based clustering with DRepStream

Achieving stable subspace clustering by post-processing generic clustering results

CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features

Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance

A study of web application firewall solutions

Detection of dynamic background due to swaying movements from motion features

Efficient and accurate set-based registration of time-separated aerial images

Groupwise registration of aerial images

Improved Impulse Noise Removal with Generalized Median Filter

Mixed-norm sparse representation for multi view face recognition

Multi-View Subspace Clustering for Face Images

On group-wise ?p regularization: Theory and efficient algorithms

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams

Visual object clustering via mixed-norm regularization

Anomaly detection in large-scale data stream networks

Stream quantiles via maximal entropy histograms

A novel information theoretic approach to wavelet feature selection for texture classification

Clustering patient medical records via sparse subspace representation

Compressive speech enhancement

Detection of cross-channel anomalies

Efficient algorithms for robust recovery of images from compressed data

Sparse subspace clustering via group sparse coding

Improved image recovery from compressed data contaminated with impulsive noise

Improved subspace clustering via exploitation of spatial constraints

Large-scale statistical modeling of motion patterns: A Bayesian nonparametric approach

Multi-modal abnormality detection in video with unknown data segmentation

Sparse subspace representation for spectral document clustering

Detection of cross-channel anomalies from multiple data channels

Innovative Sparse Representation algorithms for robust face recognition

Supervised subspace learning with multi-class Lagrangian SVM on the Grassmann manifold

A fast extension for sparse representation on robust face recognition

Bayesian minimax estimation of the normal model with incomplete prior covariance matrix specification

Effective anomaly detection in sensor networks data streams

Estimation of multicomponent polynomial phase signals with missing observations

Joint learning and dictionary construction for pattern recognition

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

A nonlinear M-estimation approach to robust asynchronous multiuser detection in non-Gaussian noise

Analysis of multicomponent polynomial phase signals

An optimisation approach to robust estimation of multicomponent polynomial phase signals in non-gaussian noise

A sequential algorithm for robust parameter estimation