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: 30.
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
Data-driven analysis and control of 2D Fornasini-Marchesini models - Bing Chu, Paolo Rapisarda and Paula Rocha
Type: Article
| 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
Bayesian active search on parameter space: a 95 GeV spin-0 resonance in the (B−L)SSM - Mauricio A. Diaz, Giorgio Cerro, Srinandan Dasmahapatra and Stefano Moretti
Type: UNSPECIFIED
| 2024
| arXiv
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
Type: Article
| 2024
| Item availability restricted.
Type: UNSPECIFIED
| 2024
| arXiv
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.
A review and evaluation of elastic distance functions for time series clustering - Christopher Holder, Matthew Middlehurst and Anthony Bagnall
Type: Review
| 2024
Inhomogeneous graph trend filtering via a l2,0 cardinality penalty - Xiaoqing Huang, Andersen Ang, Kun Huang, Jie Zhang and Yijie Wang
Type: UNSPECIFIED
| 2024
| arXiv
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.
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
Type: Conference or Workshop Item
| 2024
| Association for Computational Linguistics (ACL)
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.
Error corrected references for accelerated convergence of low gain norm optimal iterative learning control - David H. Owens and Bing Chu
Type: Article
| 2024
Type: Dataset
| 2024
| University of Southampton
Machine learning for automated, targeted, phototherapy - Matthew Praeger, Joseph Scott and James A. Grant-Jacob
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
| Item availability restricted.
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
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: Article
| 2024
Type: Dataset
| 2024
| University of Southampton
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
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.