Steve Guyot

Machine Vision and Applications · 2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Steve Guyot trusts overall

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

1. John G. Daugman
2. Michael Felsberg
3. Norden E. Huang
4. Jean-Claude Nunes

Papers from Steve Guyot's perspective

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

1. Empirical mode decomposition as a filter bank (IEEE Signal Processing Letters)
2. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
3. Applications of Hilbert–Huang transform to non‐stationary financial time series analysis
4. Textural Features for Image Classification
5. The monogenic signal (IEEE Transactions on Signal Processing)
6. Image analysis by bidimensional empirical mode decomposition (Image and Vision Computing)
7. Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case (IEEE Transactions on Signal Processing)
8. Information Theory: 1948-1998 - Guest Editorial
9. Digital signal processing (8th International Multitopic Conference, 2004. Proceedings of INMIC 2004.)
10. Time Series: Theory and Methods

Their papers

• Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition (2005) — 320 citations