Feature Tree Representation
Feature Tree Representation is a hierarchical data structure that organizes design features in a parent-child relationship, where each node represents a distinct geometric or functional feature, and the tree structure captures the sequential dependencies and logical relationships among features in a CAD model.
85
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3.3K
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292
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140
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Publications per year
2017–2026
34
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Terrain Synthesis from Digital Elevation Models
Howard Zhou, Jie Sun, Greg Turk et al. · IEEE Transactions on Visualization and Computer Graphics · 2007 · 220 citations
Combining supervised and unsupervised learning for zero-day malware detection
Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha et al. · 2013 · 108 citations
Deep hierarchical parsing for semantic segmentation
Abhishek Sharma, Oncel Tuzel, David W. Jacobs · 2015 · 103 citations
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Victoria University of Wellington
Wellington, New Zealand
5 h-index
16 publications
965 citations
Universität Hamburg
Hamburg, Germany
3 h-index
11 publications
454 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
287 citations
Technische Universität Berlin
Berlin, Germany
2 h-index
3 publications
72 citations
Cranfield University
Cranfield, United Kingdom
2 h-index
3 publications
54 citations
University of California San Diego
San Diego, United States
2 h-index
4 publications
64 citations

Mahidol University
Bangkok, Thailand
2 h-index
3 publications
503 citations

University of Trento
Trento, Italy
2 h-index
5 publications
113 citations
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2 publications · 55 citations
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AIM · 2 publications · 40 citations
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2 publications · 49 citations
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1 publications · 48 citations
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1 publications · 71 citations
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