H. Aung
Artificial Intelligence · with Bianchi-Berthouze · 2013
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Computational Mechanics — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom H. Aung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Argyriou
- M. Alex O. Vasilescu
- Andreas Maurer
- Dimitri P. Bertsekas
- Tamara G. Kolda
- Massimiliano Pontil
- Silvia Gandy
- Ji Liu
- Demetri Terzopoulos
- Patrick Lucey
Who trusts H. Aung overall
- Yongxin Yang
- Timothy M. Hospedales
- Yu Zhang
- Qiang Zhou
- Mingsheng Long
- Timur R. Almaev
- Kishan Wimalawarne
- Zichen Miao
- Cun Mu
Papers from H. Aung's perspective
Ordered by how strongly the researchers H. Aung trusts endorse each paper. Same corpus, a different order for every researcher.
- A Model of Inductive Bias Learning
- Parallel and distributed computation
- A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
- Tensor Decompositions and Applications
- Convex multi-task feature learning
- Separating Style and Content with Bilinear Models
- Multilinear image analysis for facial recognition (Object recognition supported by user interaction for service robots)
- Tensor Completion for Estimating Missing Values in Visual Data
- Transfer bounds for linear feature learning
- Excess risk bounds for multitask learning with trace norm regularization
Their papers
- Multilinear Multitask Learning (2013) — 172 citations