Iterative Boundary Refinement
Iterative Boundary Refinement is a methodological process in boundary selection that systematically improves the delineation of system or conceptual boundaries through repeated cycles of evaluation, feedback, and adjustment to enhance precision and alignment with intended scope or objectives.
18
Publications
524
Citations
69
Authors
45
Institutions
Publications per year
2017–2026
8
Parents
18
ITER: Image-to-Pixel Representation for Weakly Supervised HSI Classification
Jiaqi Yang, Bo Du, Di Wang et al. · IEEE Transactions on Image Processing · 2023 · 37 citations
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45

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
96 citations
Stanford University
Stanford, United States
2 h-index
3 publications
100 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
1 h-index
1 publications
34 citations

University of Birmingham
Birmingham, United Kingdom
1 h-index
1 publications
33 citations

Tribhuvan University
Kathmandu, Nepal
1 h-index
2 publications
94 citations
Université de Lille
Lille, France
1 h-index
2 publications
28 citations
National Advanced School of Public Works
Yaoundé, Cameroon
1 h-index
2 publications
28 citations

Université de Picardie Jules Verne
Amiens, France
1 h-index
1 publications
34 citations
1–8 of 45
2 publications · 50 citations
2
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CAGEO · 2 publications · 93 citations
2
h-index
2 publications · 51 citations
2
h-index
1 publications · 24 citations
1
h-index
1 publications · 37 citations
1
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1–5