Fionn Murtagh
Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 1997–2009
A researcher in the Science corpus: 8 papers; trusts 30 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it; #5,469 of 21,575 by trust here, #8,021 by citations
- Computational Mechanics — 23 citations into it; #2,601 of 10,001 by trust here, #3,275 by citations
- Media Technology — 7 citations into it; #1,724 of 3,621 by trust here, #1,498 by citations
- Signal Processing — 6 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
- Mathematical Physics — 5 citations into it
- Numerical Methods & Scientific Computing — 5 citations into it
Whom Fionn Murtagh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Jean-Luc Starck
- Ingrid Daubechies
- Michael Elad
- E.J. Candes
- Mark J. Shensa
- Stéphane Mallat
- Paul Tseng
- Subir Ghosh
- Toon Calders
Who trusts Fionn Murtagh overall
- James B. Ramsey
- J. Kaastra
- Jean-Luc Starck
- A. Mann
- F. Özel
- S. Markoff
- E. Koch
- Jian-Feng Cai
- Tae‐Woong Kim
- K. Cavagnolo
Papers from Fionn Murtagh's perspective
Ordered by how strongly the researchers Fionn Murtagh trusts endorse each paper. Same corpus, a different order for every researcher.
- Atomic Decomposition by Basis Pursuit
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Texture synthesis by non-parametric sampling
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Their papers
- Inpainting and Zooming Using Sparse Representations (2009) — 360 citations
- Weighted Association Rule Mining using weighted support and significance framework (2003) — 458 citations
- The Undecimated Wavelet Decomposition and its Reconstruction (2007) — 514 citations
- Astronomical Data Analysis (2007) — 2,252 citations
- Gray and color image contrast enhancement by the curvelet transform (2003) — 585 citations
- Astronomical image and data analysis (2002) — 487 citations
- Deconvolution in Astronomy: A Review (2002) — 440 citations
- Combining Neural Network Forecasts on Wavelet-transformed Time Series (1997)