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On bidirectional transitions between localist and distributed representations: The case of common substrings search using Vector Symbolic Architecture
Luleå University of Technology, Luleå, Sweden.ORCID-id: 0000-0002-6032-6155
Luleå University of Technology, Luleå, Sweden.ORCID-id: 0000-0003-0069-640X
2014 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The contribution of this article is twofold. First, it presents an encoding approach for seamless bidirectional transitions between localist and distributed representation domains. Second, the approach is demonstrated on the example of using Vector Symbolic Architecture for solving a problem of finding common substrings. The proposed algorithm uses elementary operations on long binary vectors. For the case of two patterns with respective lengths L1 and L2 it requires Θ(L1 + L2 – 1) operations on binary vectors, which is equal to the suffix trees approach – the fastest algorithm for this problem. The simulation results show that in order to be robustly detected by the proposed approach the length of a common substring should be more than 4% of the longest pattern.

Ort, förlag, år, upplaga, sidor
Elsevier, 2014. Vol. 41, s. 104-113
Serie
Procedia Computer Science, ISSN 1877-0509
Nyckelord [en]
VSA, the longest common substring problem, distributed data representation
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Kommunikations- och beräkningssystem
Identifikatorer
URN: urn:nbn:se:oru:diva-116059DOI: 10.1016/j.procs.2014.11.091ISI: 000361488600014Scopus ID: 2-s2.0-84939250548OAI: oai:DiVA.org:oru-116059DiVA, id: diva2:1898014
Konferens
5th Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2014), MIT Campus, Cambridge, MA, USA, November 7-9, 2014
Tillgänglig från: 2024-09-16 Skapad: 2024-09-16 Senast uppdaterad: 2024-09-24Bibliografiskt granskad

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Kleyko, DenisOsipov, Evgeny

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