Guy P. Nason

Computer Vision and Pattern Recognition · 1994–2013

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #7,168 of 21,575 by trust here, #13,542 by citations
• Signal Processing — 17 citations into it; #2,499 of 7,572 by trust here, #6,836 by citations
• Statistics and Probability — 16 citations into it
• Analytical Chemistry — 8 citations into it
• Economics and Econometrics — 8 citations into it; #7,844 of 23,481 by trust here, #21,405 by citations
• Artificial Intelligence — 6 citations into it; #15,936 of 35,345 by trust here, #31,361 by citations
• Applied Mathematics — 5 citations into it; #2,496 of 7,620 by trust here, #4,033 by citations
• Numerical Methods & Scientific Computing — 5 citations into it

Whom Guy P. Nason trusts overall

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

1. Ingrid Daubechies
2. Iain M. Johnstone
3. David L. Donoho
4. Stéphane Mallat
5. R. von Sachs
6. Efstathios Paparoditis
7. Bernard Walter Silverman
8. Michael H. Neumann
9. Grace Wahba
10. Wim Sweldens

Who trusts Guy P. Nason overall

1. Haeran Cho
2. Wolfgang Heardle et al.
3. Vítor Cerqueira
4. Arne Kovac
5. Piotr Fryzlewicz
6. O. Mestre
7. D. Nychka
8. Nema Dean
9. Yanqing Liu
10. Bernard Walter Silverman

Papers from Guy P. Nason's perspective

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

1. Spline Models for Observational Data
2. Ten Lectures on Wavelets
3. A wavelet tour of signal processing
4. The lifting scheme: a construction of second generation wavelets
5. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
6. Ideal spatial adaptation by wavelet shrinkage
7. Wavelet processes and adaptive estimation of the evolutionary wavelet spectrum
8. Regularization of Wavelet Approximations
9. Nonparametric stochastic regression with design-adapted wavelets
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• A Haar-Fisz Algorithm for Poisson Intensity Estimation (2004) — 176 citations
• A test for second‐order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series (2013) — 125 citations
• Multiscale methods for data on graphs and irregular multidimensional situations (2009) — 95 citations
• Wavelet Methods in Statistics with R (2008) — 359 citations
• Real nonparametric regression using complex wavelets (2004) — 67 citations
• The discrete wavelet transform in S (1994)