research
∙
08/21/2023
Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance
Recent advances in Unmanned Aerial Vehicles (UAVs) have resulted in thei...
share
research
∙
08/06/2023
Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing
This report provides an introduction to the Bandicoot C++ library for li...
research
∙
06/15/2023
Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research pub
Analysing historical patterns of artificial intelligence (AI) adoption c...
research
∙
05/10/2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Wildfire propagation is a highly stochastic process where small changes ...
research
∙
04/17/2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Many sets of ethics principles for responsible AI have been proposed to ...
research
∙
02/02/2023
mlpack 4: a fast, header-only C++ machine learning library
For over 15 years, the mlpack machine learning library has served as a "...
research
∙
12/02/2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
We apply Physics Informed Neural Networks (PINNs) to the problem of wild...
research
∙
06/17/2022
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Computational simulations of wildfire spread typically employ empirical ...
research
∙
05/09/2022
Towards Operationalising Responsible AI: An Empirical Study
While artificial intelligence (AI) has great potential to transform many...
research
∙
12/14/2021
AI Ethics Principles in Practice: Perspectives of Designers and Developers
As consensus across the various published AI ethics principles is approa...
research
∙
11/18/2021
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns
Although artificial intelligence (AI) is solving real-world challenges a...
research
∙
08/30/2021
The ensmallen library for flexible numerical optimization
We overview the ensmallen numerical optimization library, which provides...
research
∙
08/25/2021
Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning
With the underlying aim of increasing efficiency of computational modell...
research
∙
07/19/2021
A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments
The use of multi-rotor Unmanned Aerial Vehicles (UAVs) for search and re...
research
∙
04/22/2021
PyArmadillo: a streamlined linear algebra library for Python
PyArmadillo is a linear algebra library for the Python language, with th...
research
∙
07/22/2020
An Adaptive Solver for Systems of Linear Equations
Computational implementations for solving systems of linear equations of...
research
∙
05/14/2020
Surrogate Assisted Optimisation for Travelling Thief Problems
The travelling thief problem (TTP) is a multi-component optimisation pro...
research
∙
03/09/2020
Flexible numerical optimization with ensmallen
This report provides an introduction to the ensmallen numerical optimiza...
research
∙
11/08/2019
A Cooperative Coordination Solver for Travelling Thief Problems
In the travelling thief problem (TTP), a thief undertakes a cyclic tour ...
research
∙
11/20/2018
Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation
Despite the importance of sparse matrices in numerous fields of science,...
research
∙
11/20/2018
User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation
Despite the importance of sparse matrices in numerous fields of science,...
research
∙
10/22/2018
ensmallen: a flexible C++ library for efficient function optimization
We present ensmallen, a fast and flexible C++ library for mathematical o...
research
∙
06/25/2018
Diversified Late Acceptance Search
The well-known Late Acceptance Hill Climbing (LAHC) search aims to overc...
research
∙
05/09/2018
A User-Friendly Hybrid Sparse Matrix Class in C++
When implementing functionality which requires sparse matrices, there ar...
research
∙
07/28/2017
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation
Modelling of multivariate densities is a core component in many signal p...
research
∙
08/01/2016
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification
Fine-grained classification is a relatively new field that has concentra...
research
∙
04/26/2016
Towards Miss Universe Automatic Prediction: The Evening Gown Competition
Can we predict the winner of Miss Universe after watching how they strid...
research
∙
02/04/2016
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
We propose a hierarchical approach to multi-action recognition that perf...
research
∙
02/04/2016
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
We present a comparative evaluation of various techniques for action rec...
research
∙
11/30/2015
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks
We present a novel deep convolutional neural network (DCNN) system for f...
research
∙
05/09/2015
Subset Feature Learning for Fine-Grained Category Classification
Fine-grained categorisation has been a challenging problem due to small ...
research
∙
02/27/2015
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification
We propose a local modelling approach using deep convolutional neural ne...
research
∙
02/06/2015
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients
In this paper we propose a novel approach to multi-action recognition th...
research
∙
08/30/2014
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences
This paper introduces sparse coding and dictionary learning for Symmetri...
research
∙
08/11/2014
Bags of Affine Subspaces for Robust Object Tracking
We propose an adaptive tracking algorithm where the object is modelled a...
research
∙
06/19/2014
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Robust foreground object segmentation via background modelling is a diff...
research
∙
06/09/2014
Log-Euclidean Bag of Words for Human Action Recognition
Representing videos by densely extracted local space-time features has r...
research
∙
03/04/2014
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification
Recent advances suggest that encoding images through Symmetric Positive ...
research
∙
03/04/2014
Multi-Shot Person Re-Identification via Relational Stein Divergence
Person re-identification is particularly challenging due to significant ...
research
∙
03/03/2014
Matching Image Sets via Adaptive Multi Convex Hull
Traditional nearest points methods use all the samples in an image set t...
research
∙
03/03/2014
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach
A robust visual tracking system requires an object appearance model that...
research
∙
01/31/2014
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
Sparsity-based representations have recently led to notable results in v...
research
∙
10/18/2013
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution
Recent advances in computer vision and machine learning suggest that a w...
research
∙
04/16/2013
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
Recent advances suggest that a wide range of computer vision problems ca...
research
∙
04/08/2013
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robu...
research
∙
04/04/2013
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors
The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used...
research
∙
04/04/2013
Shadow Detection: A Survey and Comparative Evaluation of Recent Methods
This paper presents a survey and a comparative evaluation of recent tech...
research
∙
04/03/2013
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture
A robust and efficient anomaly detection technique is proposed, capable ...
research
∙
04/03/2013
Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition
In video based face recognition, face images are typically captured over...
research
∙
03/26/2013