Håkan Grahn
Computer Vision and Pattern Recognition · 2010–2019
A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Computer Networks and Communications — 27 citations into it; #6,643 of 9,886 by trust here, #7,140 by citations
- Hardware and Architecture — 25 citations into it; #942 of 1,551 by trust here, #1,153 by citations
- Artificial Intelligence — 14 citations into it
- Electrical and Electronic Engineering — 9 citations into it
- Experimental and Cognitive Psychology — 6 citations into it; #5,733 of 9,731 by trust here, #9,016 by citations
- Information Systems — 5 citations into it
Whom Håkan Grahn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ravi Rajwar
- William N. Scherer
- Maurice Herlihy
- James R. Goodman
- Herb Sutter
- Rasmus Pagh
- Krste Asanovic
- D. Dice
- Kevin E. Moore
- Luis Ceze
Who trusts Håkan Grahn overall
Papers from Håkan Grahn's perspective
Ordered by how strongly the researchers Håkan Grahn trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language support for lightweight transactions (Conference on Object-Oriented Programming Systems, Languages, and Applications)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Transactional memory coherence and consistency (Proceedings. 31st Annual International Symposium on Computer Architecture, 2004.)
- LogTM: log-based transactional memory (The Twelfth International Symposium on High-Performance Computer Architecture, 2006.)
- Gradient-based learning applied to document recognition
- Software transactional memory for dynamic-sized data structures (ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing)
- Unbounded transactional memory (International Symposium on High-Performance Computer Architecture)
- Long Short-Term Memory
Their papers
- Estimation of energy consumption in machine learning (2019) — 492 citations
- ARDIS: a Swedish historical handwritten digit dataset (2019) — 68 citations
- Transactional memory (2010) — 603 citations