Multiscale Smoothing is a spatial smoothing technique that integrates information across multiple spatial scales to preserve both local accuracy and global structure, distinguishing itself from single-scale methods by its adaptive use of scale-dependent kernels.
45
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99
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61
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2017–2026
9
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Publications
45
Multiscale representations of Markov random fields
Mark R. Luettgen, W.C. Karl, Alan S. Willsky et al. · IEEE Transactions on Signal Processing · 1993 · 178 citations · Full text
1–5 of 45
Authors
99
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1–5 of 99
Institutions
61
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
2 h-index
2 publications
300 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
11 publications
535 citations
University of Oulu
Oulu, Finland
2 h-index
3 publications
211 citations
Queensland University of Technology
Brisbane, Australia
2 h-index
2 publications
305 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
638 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
956 citations
SINTEF
Trondheim, Norway
2 h-index
4 publications
104 citations
Changsha University
Changsha, China
1 h-index
1 publications
63 citations
1–8 of 61
Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 4 publications · 1.1K citations
4
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- IEEE Transactions on Signal Processing
3 publications · 213 citations
3
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- IEEE Transactions on Automatic Control
2 publications · 319 citations
2
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
2 publications · 125 citations
2
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- Applied and Computational Harmonic Analysis
2 publications · 43 citations
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