Selin Aviyente
Control and Systems Engineering · 2006–2015
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 12 citations into it; #5,066 of 8,257 by trust here, #4,722 by citations
- Computational Mechanics — 8 citations into it; #1,484 of 10,001 by trust here, #4,178 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #5,267 of 21,575 by trust here, #12,689 by citations
- Mechanical Engineering — 8 citations into it; #4,202 of 8,300 by trust here, #6,077 by citations
- Signal Processing — 8 citations into it; #1,137 of 7,572 by trust here, #3,309 by citations
Whom Selin Aviyente trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Elad
- Joel A. Tropp
- Stéphane Mallat
- David L. Donoho
- Ron Kohavi
- Michal Aharon
- Jean-Luc Starck
- Scott Shaobing Chen
- George Eastman House
- David Paul Wipf
Who trusts Selin Aviyente overall
- Julien Mairal
- Yang Cong
- Meng Yang
- Francis R. Bach
- Garimella S. V. S. Sivaram
- Lei Zhang
- Ran He
- Jean Ponce
- Lingxiao He
- Junsong Yuan
Papers from Selin Aviyente's perspective
Ordered by how strongly the researchers Selin Aviyente trusts endorse each paper. Same corpus, a different order for every researcher.
- Matching pursuits with time-frequency dictionaries
- Atomic Decomposition by Basis Pursuit
- Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Uncertainty principles and ideal atomic decomposition
- Image decomposition via the combination of sparse representations and a variational approach (IEEE Transactions on Image Processing)
- $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation (IEEE Transactions on Signal Processing)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Sparse Representation for Signal Classification (2006) — 701 citations
- Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings (2015) — 339 citations
- Identification of Intermittent Electrical and Mechanical Faults in Permanent-Magnet AC Drives Based on Time–Frequency Analysis (2007) — 144 citations