Jose M. P. Nascimento

Media Technology · 2003–2008

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 69 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 25 citations into it; #119 of 3,621 by trust here, #428 by citations
• Analytical Chemistry — 14 citations into it; #17 of 1,254 by trust here, #85 by citations
• Atmospheric Science — 11 citations into it; #265 of 4,804 by trust here, #2,108 by citations
• Artificial Intelligence — 9 citations into it
• Ecology — 8 citations into it
• Signal Processing — 7 citations into it; #2,118 of 7,572 by trust here, #3,566 by citations
• Aerospace Engineering — 5 citations into it

Whom Jose M. P. Nascimento trusts overall

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

1. Chein-I. Chang
2. Gary A. Shaw
3. Aapo Hyvärinen
4. Iroon Polytechniou
5. Anthony J. Bell
6. Nirmal Keshava
7. Geoffrey J. McLachlan
8. Stuart Geman
9. Mário A. T. Figueiredo
10. Dimitris G. Manolakis

Who trusts Jose M. P. Nascimento overall

1. José M. Bioucas-Dias
2. Jun Yu Li
3. Sen Jia
4. Nicolas Gillis
5. Naoto Yokoya
6. Y. Qian
7. Antonio J. Plaza
8. Marian-Daniel Iordache
9. Lina Zhuang
10. Nicolas Dobigeon

Papers from Jose M. P. Nascimento's perspective

Ordered by how strongly the researchers Jose M. P. Nascimento trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information Theory: 1948-1998 - Guest Editorial
2. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
3. Estimating the Dimension of a Model
4. Using labeled data to evaluate change detectors in a multivariate streaming environment
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. A new look at the statistical model identification
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. The EM algorithm and extensions

Their papers

• Vertex component analysis: a fast algorithm to unmix hyperspectral data (2005) — 2,650 citations
• Hyperspectral Subspace Identification (2008) — 1,139 citations
• Estimation of signal subspace on hyperspectral data (2005) — 64 citations
• Does independent component analysis play a role in unmixing hyperspectral data? (2003) — 413 citations