Randomized Search Trees
Randomized Search Trees is a type of binary search tree data structure in which the insertion and deletion operations use randomization to maintain balanced tree height with high probability, thereby ensuring efficient average-case performance for search, insertion, and deletion operations.
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4.5K
Citations
109
Authors
55
Institutions
Publications per year
2017–2026
10
Variants
Randomized Binary Search Trees
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Object retrieval with large vocabularies and fast spatial matching
James Philbin, Ondřej Chum, Michael Isard et al. · 2007 · 3K citations
Randomized Trees for Real-Time Keypoint Recognition
Vincent Lepetit, Pascal Lagger, Pascal Fua · 2005 · 416 citations · Full text
C. Aragon, Raimund Seidel · 1989 · 154 citations
AncesTrees: ancestry estimation with randomized decision trees
David Navega, Catarina Coelho, Ricardo Vicente et al. · International Journal of Legal Medicine · 2014 · 114 citations · Full text
Eye pupil localization with an ensemble of randomized trees
Nenad Markuš, Miroslav Frljak, Igor S. Pandžić et al. · Pattern Recognition · 2013 · 98 citations · Full text
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University of Liège
Liège, Belgium
6 h-index
16 publications
601 citations
University of Lisbon
Lisbon, Portugal
3 h-index
3 publications
107 citations
California Institute of Technology
Pasadena, United States
3 h-index
6 publications
214 citations
University of Bonn
Bonn, Germany
3 h-index
3 publications
107 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
15 publications
535 citations
Heidelberg University
Heidelberg, Germany
3 h-index
9 publications
321 citations
Université de Bordeaux
Bordeaux, France
3 h-index
6 publications
214 citations
Laboratoire d'Astrophysique de Bordeaux
Bordeaux, France
3 h-index
6 publications
214 citations
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3 publications · 107 citations
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Conference · 1 publications · 34 citations
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1 publications · 29 citations
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1 publications · 30 citations
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1 publications · 19 citations
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