Sublinear-time Algorithms
Sublinear-Time Algorithms is a computational method that belongs to the class of randomized algorithms and is distinguished by its ability to solve problems in time asymptotically less than the input size, typically by exploiting probabilistic strategies to achieve efficient approximations or local inspections.
273
Publications
15.1K
Citations
520
Authors
214
Institutions
Publications per year
2017–2026
68
Parents
273
Fast pose estimation with parameter-sensitive hashing
Shakhnarovich, Viola, Darrell · 2003 · 765 citations · Full text
Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality
Piotr Indyk · 1998 · 319 citations
1–5 of 273
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Massachusetts Institute of Technology, United States
15 publications · 1.1K citations
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214

Tel Aviv University
Tel Aviv, Israel
17 h-index
51 publications
1.9K citations
Stanford University
Stanford, United States
15 h-index
21 publications
1.1K citations
Princeton University
Princeton, United States
13 h-index
20 publications
1.7K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
33 publications
1.9K citations
University of Pennsylvania
Philadelphia, United States
11 h-index
21 publications
817 citations
University of California, Berkeley
Berkeley, United States
9 h-index
17 publications
1.8K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
9 h-index
11 publications
1.1K citations
Microsoft (United States)
Redmond, United States
8 h-index
10 publications
1.2K citations
1–8 of 214
15 publications · 828 citations
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Repository · 19 publications · 662 citations
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TALG · 10 publications · 255 citations
10
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9 publications · 418 citations
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JACM · 8 publications · 955 citations
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