Research Research groups Member of: Cyber Physical Systems Research projects Active projects Bubble Exchange in the Labrador Sea - v2 for submission 2023 Researchers: Professor Steve Gunn Completed projects PASCAL Researchers: Professor Steve Gunn Sponsor: European Union PASCAL2 Researchers: Professor Steve Gunn Sponsor: European Union Pinview - FP7 Researchers: Professor Steve Gunn Doctor Sasan Mahmoodi Sponsor: European Union H Czerski - Turbulent Exchange: Aerosols, Bubbles and Gases Researchers: Professor Paul White , Professor Steve Gunn Publications 131 publications Page 4 of 14 Predicting relevance of parts of an image Arto Klami, Samuel Kaski, Kitsuchart Pasupa, Sandor Szedmak, Steve Gunn, David Hardoon & Gabriela Csurka, 2009 Type: report Ranking algorithms for implicit feedback Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Steve Gunn, David Hardoon, Arto Klami, Samuel Kaski, Alex Leung & Peter Auer, 2009 Type: report Learning to Rank Images from Eye Movements Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski & Steve Gunn, 2009 Type: conference Hardware Efficient Fixed-Point VLSI Architecture for 2D Kurtotic FastICA Amit Acharyya, Koushik Maharatna, Jinhong Sun, Bashir Al-Hashimi & Steve Gunn, 2009 Type: conference Efficient sparse kernel feature extraction based on partial least squares Charanpal Dhanjal, Steve Gunn & John Shawe-Taylor, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(8), 1347-1361 DOI: 10.1109/TPAMI.2008.171 Type: article Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry Amit Acharyya, Koushik Maharatna, Bashir Al-Hashimi & Steve Gunn, 2009, IEEE Transactions on Circuits and Systems II: Express Briefs, 56(4), 285-289 Type: article A signal theory approach to support vector classification: the sinc kernel James D.B. Nelso, Robert I. Damper, Steve R. Gunn & Baofeng Guo, 2009, Neural Networks, 22(1), 49-57 DOI: 10.1016/j.neunet.2008.09.016 Type: article Invited review: Adaptive numerical modelling and hybrid physically based ANM approaches in materials engineering - a survey P.A.S. Reed, M.J. Starink, S.R. Gunn & I. Sinclair, 2009, Materials Science and Technology, 25(4), 488-503 DOI: 10.1179/174328409X411727 Type: article A fast separability-based feature selection method for high-dimensional remotely-sensed image classification B. Guo, R. I. Damper, S. R. Gunn & J. D. B. Nelson, 2008, Pattern Recognition, 41(5), 1670-1679 DOI: 10.1016/j.patcog.2007.11.007 Type: article Customizing kernel functions for SVM-based hyperspectral image classification B. Guo, S. R. Gunn, R. I. Damper & J. D. B. Nelson, 2008, IEEE Transactions on Image Processing, 17(4), 622-629 DOI: 10.1109/TIP.2008.918955 Type: article Pagination Previous page Previous … 2 3 4 5 6 … Next page Next