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Arthur Glovazky

dblp:133/8087 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1957
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 33% Algorithms and data structures · 33% Graph algorithms and graph theory · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › subgraph isomorphism
pattern detection
0.011956
Determination of redundancies in a set of patterns · IRE Trans. Inf. Theory 1956
Information theory
pattern recognition
0.011956
Determination of redundancies in a set of patterns · IRE Trans. Inf. Theory 1956
Algorithms and data structures › randomized algorithms
sampling
0.011956
Determination of redundancies in a set of patterns · IRE Trans. Inf. Theory 1956
YearPublicationVenuePosition
1957 Author's reply to Comments on 'Determination of Redundancies in a Set of Patterns'
Arthur Glovazky
IRE Trans. Inf. Theory1
1956 Determination of redundancies in a set of patterns
abstract
A set of black-and-white patterns can be identified by successive sampling of the individual "cells" which constitute these patterns. If the number of patterns isPand the number of cells isC, it is possible to find, for any specified sampling sequence at leastC - P + 1cells which may be omitted without obstructing unique identification. Such redundant cells can be found by two methods: Construction of a "code mobile," and compilation of a "code schedule." The "mobile" is useful inasmuch as its topological characteristics can be correlated with the information capabilities and the inherent redundancy of the given identification process. The "schedule," on the other hand, is the numerical means by which practical cases can be rapidly and systematically solved. Besides revealing the redundancies in a given set, both the "mobile" and the "schedule" may serve as useful tools in evaluating and designing sampling programs.
Arthur Glovazky
IRE Trans. Inf. Theory1