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20082026
most citedSimple set cardinality estimation through random sampling

8 citations · 11 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.DS2026

Is competitive online paging an artifact?

Enoch Peserico, Michele Scquizzato

In any real system a newly computed datum begins its existence in the processor rather than in external memory, and thus does not inevitably incur a cold miss. This was captured by…

cs.DS2020

Matching on the line admits no -competitive algorithm

Enoch Peserico, Michele Scquizzato

We present a simple proof that the competitive ratio of any randomized online matching algorithm for the line is at least for all $n=2^i\!-\!1: i\in\mat…

cs.DS2018

Deterministic oblivious distribution (and tight compaction) in linear time

Enoch Peserico

In an array of N elements, M positions and M elements are "marked". We show how to permute the elements in the array so that all marked elements end in marked positions, in time O(…

cs.DS2014

Sublinear algorithms for local graph centrality estimation

Marco Bressan, Enoch Peserico, Luca Pretto

We study the complexity of local graph centrality estimation, with the goal of approximating the centrality score of a given target node while exploring only a sublinear number of…

cs.DS2013

Paging with dynamic memory capacity

Enoch Peserico

We study a generalization of the classic paging problem that allows the amount of available memory to vary over time - capturing a fundamental property of many modern computing rea…

cs.DS2008★ 1 cited

The rank convergence of HITS can be slow

Enoch Peserico, Luca Pretto

We prove that HITS, to "get right" h of the top k ranked nodes of an N>=2k node graph, can require h^(Omega(N h/k)) iterations (i.e. a substantial Omega(N h log(h)/k) matrix multip…