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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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Group by: No Grouping | Authors/Creators | Item Type
Number of items: 92.

Type: Patent | 2020 | United States Patent and Trademark Office | Item not available on this server.

Adaptive volumetric texture segmentation based on Gaussian Markov random fields features - Yasseen Hamad Al Makady, Sasan Mahmoodi and Michael Bennett
Type: Article | 2020

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

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

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

Type: Conference or Workshop Item | 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

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.

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.

Type: Conference or Workshop Item | 2020 | IEEE | Item not available on this server.

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: Article | 2020

Type: Article | 2020

Type: Meeting abstract | 2020 | Item not available on this server.

Type: Conference or Workshop Item | 2020 | IEEE | Item not available on this server.

Type: Conference or Workshop Item | 2020

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

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

Type: Article | 2020 | Item availability restricted.

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.

Type: Article | 2020

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

Type: Article | 2020 | Item availability restricted.

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

How convolutional neural network architecture biases learned opponency and colour tuning - Ethan William Albert Harris, Andreea Daniela Mihai and Jonathon Hare
Type: Article | 2020

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

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.

On a representation of partially-distinguishable populations - Jeremie Houssineau and Daniel E. Clark
Type: Article | 2020 | Item not available on this server.

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.

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020 | Neural Information Processing Systems Foundation | Item not available on this server.

Type: Conference or Workshop Item | 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

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.

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.

Type: Conference or Workshop Item | 2020 | IEEE | Item not available on this server.

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020

Type: Conference or Workshop Item | 2020 | IEEE | Item availability restricted.

Type: Article | 2020

Partial correlation financial networks - Tristan Millington and Mahesan Niranjan
Type: Article | 2020

Temporally coherent general dynamic scene reconstruction - Armin Mustafa, Marco Volino, Hansung Kim, Jean-Yves Guillemaut and Adrian Hilton
Type: Article | 2020

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.

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

Type: Conference or Workshop Item | 2020

Type: Book Section | 2020 | Springer | Item availability restricted.

Dissipativity and transformed systems - Paolo Rapisarda and Yoshito Ohta
Type: Conference or Workshop Item | 2020 | Item not available on this server.

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

DEff-ARTS: differentiable efficient ARchiTecture search - Sulaiman Sadiq, Partha Maji, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item | 2020

3D Multi Person Tracking With Dual 360° Cameras - M. Shere, Hansung Kim and Adrian Hilton
Type: Conference or Workshop Item | 2020 | Item not available on this server.

Type: Article | 2020

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.

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

Type: Conference or Workshop Item | 2020 | AAAI Press | Item not available on this server.

Type: Article | 2020

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

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.

Type: Conference or Workshop Item | 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

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.

Disturbance observer-based predictive repetitive control with constraints - Liuping Wang, Christopher Freeman and Eric Rogers
Type: Article | 2020

Type: Conference or Workshop Item | 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.

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.

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.

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.

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.

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.

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.

Type: Meeting abstract | 2020 | Item not available on this server.

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.

This list was generated on Tue Nov 19 01:58:51 2024 GMT.
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