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 2020
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Number of items: 92.
Article
Adaptive volumetric texture segmentation based on Gaussian Markov random fields features - Yasseen Hamad Al Makady, Sasan Mahmoodi and Michael Bennett
Type: Article
| 2020
Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification - Yasseen Almakady, Sasan Mahmoodi, Joy Conway and Michael Bennett
Type: Article
| 2020
A numerical measure of the instability of Mapper-type algorithms - Francisco Belchi Guillamon, Jacek Brodzki, Matthew Burfitt and Mahesan Niranjan
Type: Article
| 2020
Estimation of Gaussian mixture models via tensor moments with application to online learning - Jacek Brodzki, Donya Rahmani, Damien Fay, Akiko Takeda and Mahesan Niranjan
Type: Article
| 2020
Wavelet-based segmentation on the sphere - Xiaohao Cai, Christopher G.R. Wallis, Jennifer Y.H. Chan and Jason D. McEwen
Type: Article
| 2020
| Item not available on this server.
Generalized iterative learning control using successive projection: algorithm, convergence and experimental verification - Yiyang Chen, Bing Chu and Christopher Freeman
Type: Article
| 2020
Generalized iterative learning control with mixed system constraints: A gantry robot based verification - Yiyang Chen, Bing Chu, Christopher T. Freeman and Yanhong Liu
Type: Article
| 2020
Local entropy statistics for point processes - Daniel E. Clark
Type: Article
| 2020
| Item not available on this server.
Joint registration and fusion of an infrared camera and scanning radar in a maritime context - David Cormack, Isabel Schlangen, James R. Hopgood and Daniel E. Clark
Type: Article
| 2020
| Item not available on this server.
A general framework in single and multi-modality registration for lung imaging analysis using statistical prior shapes - Zheng Cui, Sasan Mahmoodi, Matthew Guy, Emma Lewis, Tom Havelock, Michael Bennet and Joy Conway
Type: Article
| 2020
Collaborative learning of high-precision quantum control and tomography - H.-J. Ding, B. Chu, B. Qi and R.-B. Wu
Type: Article
| 2020
| Item availability restricted.
Type: Article
| 2020
Extended state observer based indirect-type ILC for single-input single-output batch processes with time- and batch-varying uncertainties - Shoulin Hao, Tao Liu and Eric Rogers
Type: Article
| 2020
| Item availability restricted.
How convolutional neural network architecture biases learned opponency and colour tuning - Ethan William Albert Harris, Andreea Daniela Mihai and Jonathon Hare
Type: Article
| 2020
On a representation of partially-distinguishable populations - Jeremie Houssineau and Daniel E. Clark
Type: Article
| 2020
| Item not available on this server.
Acoustic Room Modelling using 360 Stereo Cameras - Hansung Kim, Luca Remaggi, Sam Fowler, Philip J. B. Jackson and Adrian Hilton
Type: Article
| 2020
Blind audio source separation with minimum-volume beta-divergence NMF - Valentin Leplat, Nicolas Gillis and Andersen M.S. Ang
Type: Article
| 2020
| Item not available on this server.
Construction of minimum spanning trees from financial returns using rank correlation - Tristan Millington and Mahesan Niranjan
Type: Article
| 2020
Type: Article
| 2020
Temporally coherent general dynamic scene reconstruction - Armin Mustafa, Marco Volino, Hansung Kim, Jean-Yves Guillemaut and Adrian Hilton
Type: Article
| 2020
Equivalence of wave linear repetitive processes and the singular 2-D Roesser state-space model - Eric Rogers, M.S. Boudellioua and K. Galkowski
Type: Article
| 2020
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances - Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst and Anthony Bagnall
Type: Article
| 2020
Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality - Omar Shetta and Mahesan Niranjan
Type: Article
| 2020
Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing - Patrick Simon Stumpf, Xin Du, Haruka Imanishi, Yuya Kunisaki, Yuichiro Semba, Timothy Noble, Rosanna Smith, Matthew Rose-Zerilli, Jonathan West, Richard Oreffo, Katayoun Farrahi, Mahesan Niranjan, Koichi Akashi, Fumio Arai and Benjamin Macarthur
Type: Article
| 2020
On parameterizing higher-order motion for behaviour recognition - Yan Sun, Jonathon Hare and Mark Nixon
Type: Article
| 2020
Point at the triple: generation of text summaries from knowledge base triples - Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare and Elena Simperl
Type: Article
| 2020
Disturbance observer-based predictive repetitive control with constraints - Liuping Wang, Christopher Freeman and Eric Rogers
Type: Article
| 2020
3D segmentation of trees through a flexible multiclass graph cut algorithm - Jonathan Williams, Carola Bibiane Schonlieb, Tom Swinfield, Juheon Lee, Xiaohao Cai, Lan Qie and David A. Coomes
Type: Article
| 2020
| Item not available on this server.
Using generative adversarial networks to break and protect text captchas - Guixin Ye, Zhanyong Tang, Dingyi Fang, Zhanxing Zhu, Yansong Feng, Pengfei Xu, Xiaojiang Chen, Jungong Han and Zheng Wang
Type: Article
| 2020
| Item not available on this server.
Book Section
Immersive virtual reality audio rendering adapted to the listener and the room - Hansung Kim, Luca Remaggi, P.J.B. Jackson and Adrian Hilton
Type: Book Section
| 2020
| Springer
| Item not available on this server.
Type: Book Section
| 2020
| Springer
| Item availability restricted.
On the noisy gradient descent that generalizes as SGD - J. Wu, W. Hu, H. Xiong, J. Huan, V. Braverman and Z. Zhu
Type: Book Section
| 2020
| International Machine Learning Society
| Item not available on this server.
Towards understanding speciation by automated extraction and description of 3D foraminifera stacks - Wenshu Zhang, Thomas Ezard, Alex Searle-Barnes, Anieke Brombacher, Orestis Katsamenis and Mark Nixon
Type: Book Section
| 2020
| IEEE
| Item not available on this server.
Conference or Workshop Item
COPD detection using three-dimensional Gaussian Markov random fields based on binary features - Yasseen, Hamad Al Makady, Sasan Mahmoodi and Michael Bennett
Type: Conference or Workshop Item
| 2020
| IEEE
Facial profiles recognition using comparative facial soft biometrics - Malak Alamri and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2020
AI3SD Video: When charge transport data are a worm – a transfer learning approach for unsupervised data classification - Tim Albrecht
Type: Conference or Workshop Item
| 2020
AI3SD Video: Topology: From shapes to numbers - Jacek Brodzki
Type: Conference or Workshop Item
| 2020
AI3SD Video: Interpretable machine learning for materials design and characterization - Keith Tobias Butler
Type: Conference or Workshop Item
| 2020
Offline and online reconstruction for radio interferometric imaging - Xiaohao Cai, Luke Pratley and Jason D. McEwen
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
Analytical modeling and control of soft fast pneumatic networks actuators - Guizhou Cao, B. Chu and Yanhong Liu
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
Distributed iterative learning control for constrained consensus tracking problem - B. Chen, B. Chu and H. Geng
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
On breaking deep generative model-based defenses and beyond - Yanzhi Chen, Renjie Xie and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
AI3SD Video: The Shape of Data in Chemistry – Insights Gleaned from Complex Solutions and Their Interfaces - Aurora Clark
Type: Conference or Workshop Item
| 2020
AI3SD Video: Machine Learning for Early Stage Drug Discovery - Charlotte Deane
Type: Conference or Workshop Item
| 2020
AI3SD Video: The Bluffers Guide to Symbolic AI - Louise Dennis
Type: Conference or Workshop Item
| 2020
Semantic scene completion from a single 360-degree image and depth map - A. Dourado, H. Kim, T. de Campos and A. Hilton
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
AI3SD Video: Prediction in organometallic catalysis – a challenge for computational chemistry - Natalie Fey
Type: Conference or Workshop Item
| 2020
AI3SD Video: Dimensionality in chemistry: using multidimensional data for machine learning - Ella Gale
Type: Conference or Workshop Item
| 2020
AI3SD Video: InChI: Measuring the Molecules - Jonathan Goodman
Type: Conference or Workshop Item
| 2020
Anatomically constrained ResNets exhibit opponent receptive fields; so what? - Ethan William Albert Harris, Andreea Daniela Mihai and Jonathon Hare
Type: Conference or Workshop Item
| 2020
Type: Conference or Workshop Item
| 2020
AI3SD Video: Supramolecular Antimicrobials – the next target for AI/Machine Learning? - Jennifer R. Hiscock
Type: Conference or Workshop Item
| 2020
Disturbance observer based iterative learning control for upper limb rehabilitation - Benyan Huo, Yanghong Liu, Yunhui Qin, Bing Chu and Christopher Freeman
Type: Conference or Workshop Item
| 2020
| IEEE
| Item availability restricted.
AI3SD Video: New Trends in Drug Discovery – Robotics & AI - Martin Immanuel-Bittner
Type: Conference or Workshop Item
| 2020
Type: Conference or Workshop Item
| 2020
Knowledge distillation in wide neural networks: risk bound, data efficiency and imperfect teacher - Guangda Ji and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
| Neural Information Processing Systems Foundation
| Item not available on this server.
AI3SD Series: Summer Seminar Series 2020 - Samantha Kanza
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
Model predictive control of grid-connected NPC inverter with automatic weighting factors selection and reduced switching frequency - M. Li, Zhan Shu and B. Chu
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
AI3SD Video: Neural Networks and Explanatory Opacity - William Mcneill
Type: Conference or Workshop Item
| 2020
AI3SD Video: New theoretical and data-driven approaches to the study of molecular conformational spaces and energy landscapes - Ingrid Membrillo Solis
Type: Conference or Workshop Item
| 2020
Which ear regions contribute to identification and to gender classification? - Di Meng, Sasan Mahmoodi and Mark Nixon
Type: Conference or Workshop Item
| 2020
| IEEE
| Item availability restricted.
LSTM-LagLasso for bond yield forecasting: Peeping into the long short-term memory networks' black box - Manuel Nunes, Enrico Gerding, Frank McGroarty and Mahesan Niranjan
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
AI3SD Video: Drug Repositioning for COVID-19 - John Overington
Type: Conference or Workshop Item
| 2020
Linear disentangled representations and unsupervised action estimation - Matthew Painter, Jonathon Hare and Adam Prugel-Bennett
Type: Conference or Workshop Item
| 2020
On the structure of cyclic linear disentangled representations - Matthew Painter, Adam Prugel-Bennett and Jonathon Hare
Type: Conference or Workshop Item
| 2020
AI3SD Video: On the Basis of Brain: Neural–Network–Inspired Changes in General Purpose Chips - Ekaterina Prytkova and Simone Vannuccini
Type: Conference or Workshop Item
| 2020
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
DEff-ARTS: differentiable efficient ARchiTecture search - Sulaiman Sadiq, Partha Maji, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2020
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
Informative dropout for robust representation learning: a shape-bias perspective - Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu and Jingdong Wang
Type: Conference or Workshop Item
| 2020
| International Machine Learning Society
| Item not available on this server.
Multi-stage self-supervised learning for graph convolutional networks on graphs with few labeled nodes - Ke Sun, Zhouchen Lin and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
| AAAI Press
| Item not available on this server.
Image-quality improvement of omnidirectional free-viewpoint images by generative adversarial networks - O. Takeuchi, H. Shishido, Y. Kameda, H. Kim and I. Kitahara
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
Ridge detection and analysis of susceptibility-weighted magnetic resonance imaging in neonatal hypoxic-ischaemic encephalopathy - Zhen Tang, Sasan Mahmoodi, Srinandan Dasmahapatra, Angela Darker and Brigitte Vollmer
Type: Conference or Workshop Item
| 2020
| Springer
AI3SD Video: An Open Competition of People and Machines to Develop Predictive Models for Antimalarial Drug Discovery - Matthew Todd
Type: Conference or Workshop Item
| 2020
Quasi-Newton's method in the class gradient defined high-curvature subspace - Mark Tuddenham, Adam Prugel-Bennett and Jonathon Hare
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
AI3SD Video: Artificial Intelligence’s new clothes? From General Purpose Technology to Large Technical System - Simone Vannuccini and Ekaterina Prytkova
Type: Conference or Workshop Item
| 2020
Point at the triple: Generation of text summaries from knowledge base triples (Extended Abstract) - Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare and Elena Simperl
Type: Conference or Workshop Item
| 2020
| International Joint Conferences on Artificial Intelligence
Towards making deep transfer learning never hurt - Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu and Jun Huan
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
Neural control variates for Monte Carlo variance reduction - Ruosi Wan, Mingjun Zhong, Haoyi Xiong and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
AI3SD Video: Smart Cleaning & COVID-19 - Nicholas Watson
Type: Conference or Workshop Item
| 2020
Towards understanding and improving the transferability of adversarial examples in deep neural networks - Lei Wu and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
Efficient Neural Architecture Search via Proximal Iterations - Quanming Yao, Ju Xu, Wei-Wei Tu and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
| AAAI Press
| Item not available on this server.
Tangent-normal adversarial regularization for semi-supervised learning - Bing Yu, Jingfeng Wu, Jinwen Ma and Zhanxing Zhu
Type: Conference or Workshop Item
| 2020
| IEEE
| Item not available on this server.
Black-box certification with randomized smoothing: a functional optimization based framework - Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu and Qiang Liu
Type: Conference or Workshop Item
| 2020
| Neural Information Processing Systems Foundation
| Item not available on this server.
FSPool: Learning set representations with featurewise sort pooling - Yan Zhang, Jonathon Hare and Adam Prugel-Bennett
Type: Conference or Workshop Item
| 2020
| Item not available on this server.
Patent
Type: Patent
| 2020
| United States Patent and Trademark Office
| Item not available on this server.
Meeting abstract
Iterative learning control for collaborative tracking: point to point tasks and constraint handling - B. Chu
Type: Meeting abstract
| 2020
| Item not available on this server.
Application of the dynamic iterative learning control to the heteroplanar active magnetic bearing - Lukasz Hladowski, A. Mystkowski, K. Galkowski, E. Rogers and B. Chu
Type: Meeting abstract
| 2020
| Item not available on this server.
A preliminary study on the relationship between iterative learning control and reinforcement learning - Yueqing Zhang, B. Chu and Z. Shu
Type: Meeting abstract
| 2020
| Item not available on this server.
FES based wrist tremor suppression using multi-periodic repetitive control - Zan Zhang, B. Chu, Yanhong Liu and D. H. Owens
Type: Meeting abstract
| 2020
| Item not available on this server.
Wrist tremor suppression based on repetitive control with multi-muscle electrical stimulation - Zan Zhang, B. Chu, Yanhong Liu, Haichuan Ren and D. H. Owens
Type: Meeting abstract
| 2020
| Item not available on this server.