Robert K. Harle
Electrical and Electronic Engineering · 2008–2015
A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 28 citations into it; #733 of 16,539 by trust here, #6,381 by citations
- Computer Vision and Pattern Recognition — 19 citations into it; #7,842 of 21,575 by trust here, #13,542 by citations
- Computer Networks and Communications — 13 citations into it; #6,497 of 9,886 by trust here, #7,832 by citations
- Ocean Engineering — 13 citations into it; #137 of 3,193 by trust here, #872 by citations
- Biomedical Engineering — 8 citations into it; #804 of 10,734 by trust here, #7,109 by citations
- Aerospace Engineering — 7 citations into it
- Artificial Intelligence — 7 citations into it
- Signal Processing — 6 citations into it; #3,403 of 7,572 by trust here, #4,373 by citations
Whom Robert K. Harle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oliver J. Woodman
- Dieter Fox
- Jeffrey Hightower
- Anshul Rai
- Daniel Ashbrook
- Gaetano Borriello
- Stéphane Mallat
- V. Padmanabhan
- Dan Simon
- Paul Groves
Who trusts Robert K. Harle overall
- Pavel Davidson
- Changhao Chen
- Zain Bin Tariq
- Robert Piché
- Suining He
- Agata Brajdic
- Alessandro Filippeschi
- Chris Xiaoxuan Lu
- Dost Muhammad Cheema
- Ali Khalajmehrabadi
Papers from Robert K. Harle's perspective
Ordered by how strongly the researchers Robert K. Harle trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Pedestrian localisation for indoor environments (2008) — 569 citations
- A Survey of Indoor Inertial Positioning Systems for Pedestrians (2013) — 842 citations
- Walk detection and step counting on unconstrained smartphones (2013) — 404 citations
- Location Fingerprinting With Bluetooth Low Energy Beacons (2015) — 845 citations