5. Use different definition structures
Daniel Jiwoong Im and Graham Taylor. Scoring and classifying with gated auto-encoders. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2015.[ | ]
6. Use different attribution signals
Weiguang Ding, Ruoyan Wang, Fei Mao, and Graham Taylor. Theano-based large-scale visual recognition with multiple GPUs. In International Conference on Learning Representations (ICLR) Workshop Track, 2015.[ | ]
Daniel Jiwoong Im, Ethan Buchman, and Graham Taylor. An empirical investigation of minimum probability flow learning under different connectivity patterns. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2015.[ | ]
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Fan Li and Graham Taylor. Alter-CNN: An approach to learning from label proportions with application to ice-water classification. In Neural Information Processing Systems 28 (NIPS) Deep Learning and Representation Learning Workshop on Learning and Privacy with Incomplete Data and Weak Supervision, 2015.[ | ]
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Weiguang Ding and Graham Taylor. Mental rotation by optimizing transforming distance. In Neural Information Processing Systems 27 (NIPS) Workshop on Deep Learning and Representation Learning, 2014.[ | ]
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Natalia Neverova, Christian Wolf, and Graham Taylor. Hand segmentation with structured convolutional learning. In Asian Conference on Computer Vision (ACCV), 2014.[ | ]
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Working with several large wind energy providers and local biologists in the Western Cape region, EchoTrack is providing pre- and post-construction risk assessments designed to investigate nocturnal movements of birds in areas planned for wind turbine development. Local biologists and observers conduct nighttime field monitoring with the objectives of monitoring when visual survey is not possible, and of maximizing the volume of coverage so multiple birds could be surveyed simultaneously and over a large area.
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Natalia Neverova, Christian Wolf, Graham Taylor, and Florian Nebout. Multi-scale deep learning for gesture detection and localization. In ECCV ChaLearn Workshop on Looking at People, 2014.[ | ]
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Natalia Neverova, Christian Wolf, Graham Taylor, and Florian Nebout. Moddrop: adaptive multi-modal gesture recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38:1692--1706, 2016.[ | ]