Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Vision, Learning and Control
School of Electronics and Computer Science > Vision, Learning and Control" and Year is 2024
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Number of items: 49.
Article
MGProx: a nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization - Andersen Ang, Hans De Sterck and Stephen Vavasis
Type: Article
| 2024
Convolutional- and deep learning-based techniques for time series ordinal classification - Anthony Bagnall
Type: Article
| 2024
Adaptive log-Euclidean metrics for SPD matrix learning - Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiao-Jun Wu and Nicu Sebe
Type: Article
| 2024
| Item not available on this server.
Data-driven analysis and control of 2D Fornasini-Marchesini models - Bing Chu, Paolo Rapisarda and Paula Rocha
Type: Article
| 2024
Realisation of early-exit dynamic neural networks on reconfigurable hardware - Anastasios Dimitriou, Lei Xun, Jonathon Hare and Geoff V. Merrett
Type: Article
| 2024
Type: Article
| 2024
Unsupervised feature based algorithms for time series extrinsic regression - David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva and Anthony Bagnall
Type: Article
| 2024
Protein language models meet reduced amino acid alphabets - Ioan Ieremie, Rob M. Ewing and Mahesan Niranjan
Type: Article
| 2024
DrugPose: benchmarking 3D generative methods for early stage drug discovery - Zygimantas Jocys, Joanna Grundy and Katayoun Farrahi
Type: Article
| 2024
Functional relation field: a model-agnostic framework for multivariate time series forecasting - Ting Li, Bing Yu, Jianguo Li and Zhanxing Zhu
Type: Article
| 2024
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera - Huahua Lin, Wenshu Zhang, James Michael Mulqueeney, Anieke Brombacher, Alex Searle-Barnes, Mark Nixon, Xiaohao Cai and Tom Ezard
Type: Article
| 2024
aeon: a Python toolkit for learning from time series - Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer and Anthony Bagnall
Type: Article
| 2024
Error corrected references for accelerated convergence of low gain norm optimal iterative learning control - David H. Owens and Bing Chu
Type: Article
| 2024
Machine learning for automated, targeted, phototherapy - Matthew Praeger, Joseph Scott and James A. Grant-Jacob
Type: Article
| 2024
Enabling ImageNet-scale deep learning on MCUs for accurate and efficient inference - Sulaiman Sadiq, Jonathon Hare, Simon Craske, Partha Maji and Geoff Merrett
Type: Article
| 2024
Integrated plasma proteomics identifies tuberculosis-specific diagnostic biomarkers - Hannah Schiff, Naomi F. Walker, Cesar Ugarte-Gil, Marc Tebruegge, Spiros D. Garbis, Antigoni Manousopoulou, Salah Mansour, Pak Ho Wong, Gabrielle Rockett, Paolo Piazza, Mahesan Niranjan, Andres F. Vallejo, Christopher H. Woelk, Robert J. Wilkinson, Liku B. Tezera, Diana Garay Baquero and Paul Elkington
Type: Article
| 2024
Rule-based deep learning method for prognosis of neonatal hypoxic-ischemic encephalopathy by using susceptibility weighted image analysis - Zhen Tang, Sasan Mahmoodi, Di Meng, Angela Darekar and Brigitte Vollmer
Type: Article
| 2024
Machine learning to predict prostate artery embolization outcomes - G. Vigneswaran, N. Doshi, D. Maclean, T. Bryant, M. Harris, N. Hacking, K. Farrahi, M. Niranjan and S. Modi
Type: Article
| 2024
Type: Article
| 2024
Temperature monitoring of through-thickness temperature gradients in thermal barrier coatings using ultrasonic guided waves - Lawrence Yule, Nicholas Harris, Martyn Hill and Bahareh Zaghari
Type: Article
| 2024
Temperature hotspot detection on printed circuit boards (PCBS) using ultrasonic guided waves—a machine learning approach - Lawrence Yule, Nicholas Harris, Martyn Hill, Bahareh Zaghari and Joanna Grundy
Type: Article
| 2024
Book Section
OptiBreathe: an earable-based PPG system for continuous respiration rate, breathing phase, and tidal volume monitoring - Julia Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar and Alessandro Montanari
Type: Book Section
| 2024
| Item not available on this server.
Conference or Workshop Item
A hands-on introduction to time series classification and regression - Anthony Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster and Geoffrey I. Webb
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Rethinking Deep Thinking: stable learning of algorithms using Lipschitz Constraints - Jay Bear, Adam Prugel-Bennett and Jonathon Hare
Type: Conference or Workshop Item
| 2024
An algorithmic approach for quantitative motion artefact grading in HRpQCT medical imaging - Thomas Alexander Cox, Sasan Mahmoodi, Nicholas Harvey, Rebecca Moon, Kate Ward and Leo Westbury
Type: Conference or Workshop Item
| 2024
FPGA acceleration of dynamic neural networks: challenges and advancements - Anastasios Dimitriou, Benjamin Biggs, Jonathon Hare and Geoff V. Merrett
Type: Conference or Workshop Item
| 2024
Source detection and tracking for underwater distributed acoustic sensing - Konstantinos Theofilos Drylerakis, Mohammad Belal, Rafael Mestre, Timothy J. Norman and Christine Evers
Type: Conference or Workshop Item
| 2024
Probabilistic methods for improved self-consistency of Doppler Velocity Log range-based bathymetry - Sam Fenton, Blair Thornton, Christine Currie, Christine Evers, Adam Prugel-Bennett, Matthew Grove and Darryl Newborough
Type: Conference or Workshop Item
| 2024
LInKs “lifting independent keypoints” - partial pose lifting for occlusion handling with improved accuracy in 2D-3D human pose estimation - Peter Hardy and Hansung Kim
Type: Conference or Workshop Item
| 2024
| IEEE
| Item not available on this server.
Improving real-time omnidirectional 3D multi-person human pose estimation with people matching and unsupervised 2D-3D lifting - Pawel Knap, Peter Hardy, Alberto Tamajo, Hwasup Lim and Hansung Kim
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Type: Conference or Workshop Item
| 2024
| Association for Computational Linguistics (ACL)
Infrared database for gait recognition in dynamic outdoor environment - Sonam Nahar and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2024
| Springer Cham
| Item availability restricted.
Reinforcement learning for bond portfolio management: An actor-critic approach - Manuel Nunes, Enrico Gerding, Frank McGroarty and Mahesan Niranjan
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Memory-efficient gradient unrolling for large-scale Bi-level optimization - Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu and Kenji Kawaguchi
Type: Conference or Workshop Item
| 2024
| Neural Information Processing Systems Foundation
| Item not available on this server.
Gait series: gait recognition using unsynchronized multi-variate time series - Hongzhen Wang and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2024
| Item availability restricted.
SliceFormer: deep dense depth estimation from a single indoor omnidirectional image using a slice-based transformer - Yihong Wu, Yuwen Heng, Mahesan Niranjan and Hansung Kim
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Dynamic DNNs and runtime management for efficient inference on mobile/embedded devices - Lei Xun, Jonathon Hare and Geoff V. Merrett
Type: Conference or Workshop Item
| 2024
Fluid dynamic DNNs for reliable and adaptive distributed inference on edge devices - Lei Xun, Mingyu Hu, Hengrui Zhao, Amit Kumar Singh, Jonathon Hare and Geoff V. Merrett
Type: Conference or Workshop Item
| 2024
Type: Conference or Workshop Item
| 2024
Revisiting cross-domain problem for LiDAR-based 3D object detection - Ruixiao Zhang, Juheon Lee, Xiaohao Cai and Adam Prugel-Bennett
Type: Conference or Workshop Item
| 2024
Detect closer surfaces that can be seen: new modeling and evaluation in cross-domain 3D object detection - Ruixiao Zhang, Yihong Wu, Juheon Lee, Adam Prugel-Bennett and Xiaohao Cai
Type: Conference or Workshop Item
| 2024
Omnidirectional depth estimation for semantic segmentation - Jiaqi Zhou, Yihong Wu, Peter Timothy David Hardy and Hansung Kim
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Dataset
Type: Dataset
| 2024
| University of Southampton
Type: Dataset
| 2024
| Zenodo
| Item not available on this server.
Type: Dataset
| 2024
| University of Southampton
Type: Dataset
| 2024
| University of Southampton
Letter
Concurrent left Ventricular myocardial diffuse fibrosis and left atrial dysfunction strongly predict incident heart failure - Mark Y.Z. Wong, Jose D. Vargas, Hafiz Naderi, Mihir M. Sanghvi, Zahra Raisi-Estabragh, Avan Suinesiaputra, Rodrigo Bonazzola, Rahman Attar, Nishant Ravikumar, Evan Hann, Stefan Neubauer, Stefan K. Piechnik, Alejandro F. Frangi, Steffen E. Petersen and Nay Aung
Type: Letter
| 2024
| Item availability restricted.
Review
A review and evaluation of elastic distance functions for time series clustering - Christopher Holder, Matthew Middlehurst and Anthony Bagnall
Type: Review
| 2024
Special issue
EpiCURB: learning to derive epidemic control policies - Andrei C. Rusu, Katayoun Farrahi and Mahesan Niranjan
Type: Special issue
| 2024