Lance Parsons
Artificial Intelligence · 2004
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #15,766 of 35,345 by trust here, #17,110 by citations
- Signal Processing — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #10,098 of 21,575 by trust here, #11,498 by citations
- Information Systems — 6 citations into it
Whom Lance Parsons trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Manoranjan Dash
- Dimitris Achlioptas
- Avrim Blum
- Anil K. Jain
- Ron Kohavi
- Lei Yu
- Ella Bingham
- Xiaoli Z. Fern
- YongSeog Kim
- Huan Liu
Who trusts Lance Parsons overall
- Charles Bouveyron
- Changqing Zhang
- Ahmed Ali Abdalla Esmin
- Liping Jing
- Shirui Luo
- Stephen Ranshous
- Mayra Zegarra Rodriguez
- Camille Brunet
- Sivaraman Balakrishnan
- Rodrigo Amador Coelho
Papers from Lance Parsons's perspective
Ordered by how strongly the researchers Lance Parsons trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Algorithms for Clustering Data
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Subspace clustering for high dimensional data: a review (2004) — 1,528 citations