Mario Parente

Media Technology · 2009–2014

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 54 citations into it; #2,532 of 3,621 by trust here, #941 by citations
• Atmospheric Science — 25 citations into it
• Ecology — 24 citations into it
• Analytical Chemistry — 21 citations into it; #834 of 1,254 by trust here, #299 by citations
• Computational Mechanics — 18 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Biomedical Engineering — 8 citations into it
• Global and Planetary Change — 7 citations into it

Whom Mario Parente trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. José M. Bioucas-Dias
2. Marian-Daniel Iordache
3. Antonio J. Plaza
4. Ben Somers
5. Sam T. Roweis
6. Chein-I. Chang
7. Gustau Camps-Valls
8. Daniel C. Heinz
9. Chengquan Huang
10. E.J. Candes

Who trusts Mario Parente overall

1. José M. Bioucas-Dias

Papers from Mario Parente's perspective

Ordered by how strongly the researchers Mario Parente trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Vertex component analysis: a fast algorithm to unmix hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Matching pursuits with time-frequency dictionaries
6. Nonlinear dimensionality reduction by locally linear embedding.
7. Gradient-based learning applied to document recognition
8. A global geometric framework for nonlinear dimensionality reduction.
9. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
10. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

Their papers

• A Review of Nonlinear Hyperspectral Unmixing Methods (2014) — 539 citations
• Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches (2012) — 2,769 citations
• An improvement to the volcano-scan algorithm for atmospheric correction of CRISM and OMEGA spectral data (2009) — 216 citations
• Characterization of phyllosilicates observed in the central Mawrth Vallis region, Mars, their potential formational processes, and implications for past climate (2009) — 153 citations