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Jois Malathi Char

dblp:37/4847 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 87% Distributed systems · 13%

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

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › neuromorphic computing
associative memory
0.011988
Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories · IEEE Trans. Computers 1988
Emerging computing paradigms › neuromorphic computing › associative memory
distributed associative memory
0.011988
Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories · IEEE Trans. Computers 1988
Distributed systems
fault tolerance
0.011988
Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories · IEEE Trans. Computers 1988

Methods — techniques the papers use, named apart from their topics

distributed associative memory model · 0.0
YearPublicationVenuePosition
1988 Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories
abstract
The distributed associative memory (DAM) model is proposed for distributed and fault-tolerant computation related to retrieval tasks. The fault tolerance is with respect to noise in the input key data and/or local and global failures in the memory itself. Working models for fault-tolerant image reconfiguration and database information retrieval have been developed and backed up by experimental results that show the feasibility of such an approach.>
Jois Malathi Char, Vladimir Cherkassky, Harry Wechsler, George Lee Zimmerman
IEEE Trans. Computers1