activity
20152019
most citedPractical Hash Functions for Similarity Estimation and Dimensionality Reduction

10 citations · 14 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DS2019

Fast hashing with Strong Concentration Bounds

Anders Aamand, Jakob B. T. Knudsen, Mathias B. T. Knudsen +2

Previous work on tabulation hashing by Patrascu and Thorup from STOC'11 on simple tabulation and from SODA'13 on twisted tabulation offered Chernoff-style concentration bounds on h…

cs.DS2018

Power of Choices with Simple Tabulation

Anders Aamand, Mathias Bæk Tejs Knudsen, Mikkel Thorup

Suppose that we are to place balls into bins sequentially using the -choice paradigm: For each ball we are given a choice of bins, according to hash functions $h…

stat.ML201710 cited

Practical Hash Functions for Similarity Estimation and Dimensionality Reduction

Søren Dahlgaard, Mathias Bæk Tejs Knudsen, Mikkel Thorup

Hashing is a basic tool for dimensionality reduction employed in several aspects of machine learning. However, the perfomance analysis is often carried out under the abstract assum…

cs.DS2017

Linear Hashing is Awesome

Mathias Bæk Tejs Knudsen

We consider the hash function where are chosen uniformly at random from . We prove that when we use in hashing wi…

cs.DS20172 cited

Finding Even Cycles Faster via Capped k-Walks

Søren Dahlgaard, Mathias Bæk Tejs Knudsen, Morten Stöckel

In this paper, we consider the problem of finding a cycle of length (a ) in an undirected graph with nodes and edges for constant . A classic result…

cs.DS20152 cited

Longest Common Extensions in Sublinear Space

Philip Bille, Inge Li Gørtz, Mathias Bæk Tejs Knudsen +2

The longest common extension problem (LCE problem) is to construct a data structure for an input string of length that supports LCE queries. Such a query returns the…