Marian-Daniel Iordache
Media Technology · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 39 citations into it; #558 of 3,621 by trust here, #1,206 by citations
- Computational Mechanics — 33 citations into it; #1,570 of 10,001 by trust here, #3,362 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Atmospheric Science — 15 citations into it
- Analytical Chemistry — 13 citations into it
- Biomedical Engineering — 9 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Numerical Analysis — 9 citations into it
Whom Marian-Daniel Iordache trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- José M. Bioucas-Dias
- Antonin Chambolle
- Chein-I. Chang
- E.J. Candes
- Songhu Wang
- Antonio J. Plaza
- David L. Donoho
- Jose M. P. Nascimento
- Mário A. T. Figueiredo
- Alfred Marcel Bruckstein
Who trusts Marian-Daniel Iordache overall
- José M. Bioucas-Dias
- Renwei Dian
- Antonio J. Plaza
- Wei He
- Shutao Li
- Rob Heylen
- Y. Qian
- Pedram Ghamisi
- Hongyan Zhang
- Wing-Kin Ma
Papers from Marian-Daniel Iordache's perspective
Ordered by how strongly the researchers Marian-Daniel Iordache trusts endorse each paper. Same corpus, a different order for every researcher.
- Atomic Decomposition by Basis Pursuit
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Decoding by linear programming
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Stable recovery of sparse overcomplete representations in the presence of noise
- Sparse Reconstruction by Separable Approximation
Their papers
- Collaborative Sparse Regression for Hyperspectral Unmixing (2014) — 475 citations
- Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing (2012) — 728 citations
- Sparse Unmixing of Hyperspectral Data (2011) — 1,059 citations