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Showing results 1787 to 1806 of 3138
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Issue Date
Title
Author(s)
2016
Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging data
Zhou, L.
;
Wang, L.
;
Liu, L.
;
Ogunbona, P.
;
Shen, D.
2022
Learning discriminative region representation for person retrieval
Zhao, Y.
;
Yu, X.
;
Gao, Y.
;
Shen, C.
2017
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition
Qiao, R.
;
Liu, L.
;
Shen, C.
;
van den Hengel, A.
2016
Learning from less for better: semi-supervised activity recognition via shared structure discovery
Yao, L.
;
Nie, F.
;
Sheng, Q.
;
Gu, T.
;
Li, X.
;
Wang, S.
;
Lukowicz, P.
;
Krüger, A.
;
Bulling, A.
;
Lim, Y.-K.
;
Patel, S.
;
2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) (12 Sep 2016 - 16 Sep 2016 : Heidelberg, Germany)
2015
Learning graph structure for multi-label image classification via clique generation
Tan, M.
;
Shi, Q.
;
Van Den Hengel, A.
;
Shen, C.
;
Gao, J.
;
Hu, F.
;
Zhang, Z.
;
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2014
Learning graphs to model visual objects across different depictive styles
Wu, Q.
;
Cai, H.
;
Hall, P.
;
Fleet, D.
;
Pajdia, T.
;
Schiele, B.
;
Tuytelaars, T.
;
13th European Conference on Computer Vision (ECCV) (6 Sep 2014 - 12 Sep 2014 : Zurich, Switzerland)
2009
Learning group activity in soccer videos from local motion
Kong, Y.
;
Hu, W.
;
Zhang, X.
;
Wang, H.
;
Jia, Y.
;
Asian Conference on Computer Vision (9th : 2009 : Xi'an, China)
2013
Learning hash functions using column generation
Li, X.
;
Lin, G.
;
Shen, C.
;
Van Den Hengel, A.
;
Dick, A.
;
International Conference on Machine Learning (30th : 2013 : Atlanta, Georgia, U.S.A.)
2016
Learning local image descriptors with deep siamese and triplet convolutional networks by minimizing global loss functions
Vijay Kumar, B.
;
Carneiro, G.
;
Reid, I.
;
29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
2009
Learning multi-criteria fuzzy rule based decision models for hedge fund management
Ghandar, A.
;
Michalewicz, Z.
;
Zurbrugg, R.
;
Metaheuristics International Conference (8th : 2009 : Hamburg, Germany)
2013
Learning people detectors for tracking in crowded scenes
Tang, S.
;
Andriluka, M.
;
Milan, A.
;
Schindler, K.
;
Roth, S.
;
Schiele, B.
;
IEEE International Conference on Computer Vision (14th : 2013 : Sydney, Australia)
2015
Learning representative deep features for image set analysis
Wu, Z.
;
Huang, Y.
;
Wang, L.
2023
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification
Wu, L.Y.
;
Liu, L.
;
Wang, Y.
;
Zhang, Z.
;
Boussaid, F.
;
Bennamoun, M.
;
Xie, X.
2015
Learning similarity metrics for dynamic scene segmentation
Teney, D.
;
Brown, M.
;
Kit, D.
;
Hall, P.
;
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2016
Learning sparse confidence-weighted classifier on very high dimensional data
Tan, M.
;
Yan, Y.
;
Wang, L.
;
Van Den Hengel, A.
;
Tsang, I.
;
Shi, Q.
;
30th AAAI Conference on Artificial Intelligence (AAAI) (12 Feb 2016 - 17 Feb 2016 : Phoenix, AZ)
2015
Learning to rank in person re-identification with metric ensembles
Paisitkriangkrai, S.
;
Shen, C.
;
Van Den Hengel, A.
;
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2021
Learning to zoom-in via learning to zoom-out: real-world super-resolution by generating and adapting degradation
Sun, W.
;
Gong, D.
;
Shi, Q.
;
van den Hengel, A.
;
Zhang, Y.
2021
Learning transfer in novice programmers: A preliminary study
Izu, M.
;
Mirolo, C.
;
Schulte, C.
;
Becker, B.A.
;
Divitini, M.
;
Barendsen, E.
;
Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE) (26 Jun 2021 - 1 Jul 2021 : virtual online)
2014
Learning with both unlabeled data and query logs for image search
Wu, J.
;
Xiao, Z.
;
Wang, H.
;
Shen, H.
2018
Learning-based SPARQL query performance modeling and prediction
Zhang, W.
;
Sheng, Q.
;
Qin, Y.
;
Taylor, K.
;
Yao, L.