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Practical hash functions for similarity estimation and dimensionality reduction
Søren Dahlgaard, Mathias Bæk Tejs Knudsen,
Mikkel Thorup
Department of Computer Science
10
Citations (Scopus)
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Dive into the research topics of 'Practical hash functions for similarity estimation and dimensionality reduction'. Together they form a unique fingerprint.
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Keyphrases
Concentration Bounds
20%
Dimensionality Reduction
100%
Feature Hashing
60%
Hash Function
100%
Hashing
80%
Hashing Scheme
40%
Machine Learning
20%
Perfomance
20%
Popular
20%
Random Hash Function
20%
Random Hashing
40%
Random Inputs
20%
Random Units
20%
Similarity Estimation
100%
Synthetic Data
20%
Tabulation Hashing
20%
Truly Random
80%
Unit Cost
20%
Computer Science
Dimensionality Reduction
100%
Good Performance
8%
Hash Function
100%
Hashing
100%
Learning System
8%
Machine Learning
8%
Neighbour Search
8%
Support Vector Machine
8%
Synthetic Data
8%
Mathematics
Input Vector
16%
Random Input
16%
Unit Cost
16%