Matching in memristor based auto-associative memory with application to pattern recognition

Yuanfan Yang; Jimson Mathew; Dhiraj K. Pradhan

doi:10.1109/ICOSP.2014.7015242

Matching in memristor based auto-associative memory with application to pattern recognition

Yuanfan Yang, Jimson Mathew, Dhiraj K. Pradhan

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

9 Citations (Scopus)

Abstract

The study of memristor based associative memory design has become increasingly important with the advent of new hybrid CMOS Molecular (CMOL) technologies. To date, only a very few papers have been published on this topic. Specifically, little is know regarding partial or full match is possible in CMOL technologies which use CMOS and memristors. To this end, a new approach to implement partial of full matching in associative memory is introduced. The method is based on complementary transformations at the input. This method is augmented with transformations that specifically enhance partial or full matching of the input data while improving the performance. Experimental results show that the proposed methodology can achieve better performance than similar designs in the literature.

Original language	English
Title of host publication	International Conference on Signal Processing Proceedings, ICSP
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1463-1468
Number of pages	6
Volume	2015-January
Edition	October
DOIs	https://doi.org/10.1109/ICOSP.2014.7015242
Publication status	Published - 19 Jan 2015
Event	2014 12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, China Duration: 19 Oct 2014 → 23 Oct 2014

Conference

Conference	2014 12th IEEE International Conference on Signal Processing, ICSP 2014
Country/Territory	China
City	Hangzhou
Period	19/10/14 → 23/10/14

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10.1109/ICOSP.2014.7015242

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Yang, Y., Mathew, J., & Pradhan, D. K. (2015). Matching in memristor based auto-associative memory with application to pattern recognition. In International Conference on Signal Processing Proceedings, ICSP (October ed., Vol. 2015-January, pp. 1463-1468). Article 7015242 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICOSP.2014.7015242

@inproceedings{ac651401542349958b74786d5a8ea77c,

title = "Matching in memristor based auto-associative memory with application to pattern recognition",

abstract = "The study of memristor based associative memory design has become increasingly important with the advent of new hybrid CMOS Molecular (CMOL) technologies. To date, only a very few papers have been published on this topic. Specifically, little is know regarding partial or full match is possible in CMOL technologies which use CMOS and memristors. To this end, a new approach to implement partial of full matching in associative memory is introduced. The method is based on complementary transformations at the input. This method is augmented with transformations that specifically enhance partial or full matching of the input data while improving the performance. Experimental results show that the proposed methodology can achieve better performance than similar designs in the literature.",

author = "Yuanfan Yang and Jimson Mathew and Pradhan, {Dhiraj K.}",

year = "2015",

month = jan,

day = "19",

doi = "10.1109/ICOSP.2014.7015242",

language = "English",

volume = "2015-January",

pages = "1463--1468",

booktitle = "International Conference on Signal Processing Proceedings, ICSP",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

edition = "October",

note = "2014 12th IEEE International Conference on Signal Processing, ICSP 2014 ; Conference date: 19-10-2014 Through 23-10-2014",

}

Yang, Y, Mathew, J & Pradhan, DK 2015, Matching in memristor based auto-associative memory with application to pattern recognition. in International Conference on Signal Processing Proceedings, ICSP. October edn, vol. 2015-January, 7015242, Institute of Electrical and Electronics Engineers (IEEE), pp. 1463-1468, 2014 12th IEEE International Conference on Signal Processing, ICSP 2014, Hangzhou, China, 19/10/14. https://doi.org/10.1109/ICOSP.2014.7015242

Matching in memristor based auto-associative memory with application to pattern recognition. / Yang, Yuanfan; Mathew, Jimson; Pradhan, Dhiraj K.
International Conference on Signal Processing Proceedings, ICSP. Vol. 2015-January October. ed. Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 1463-1468 7015242.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Matching in memristor based auto-associative memory with application to pattern recognition

AU - Yang, Yuanfan

AU - Mathew, Jimson

AU - Pradhan, Dhiraj K.

PY - 2015/1/19

Y1 - 2015/1/19

N2 - The study of memristor based associative memory design has become increasingly important with the advent of new hybrid CMOS Molecular (CMOL) technologies. To date, only a very few papers have been published on this topic. Specifically, little is know regarding partial or full match is possible in CMOL technologies which use CMOS and memristors. To this end, a new approach to implement partial of full matching in associative memory is introduced. The method is based on complementary transformations at the input. This method is augmented with transformations that specifically enhance partial or full matching of the input data while improving the performance. Experimental results show that the proposed methodology can achieve better performance than similar designs in the literature.

AB - The study of memristor based associative memory design has become increasingly important with the advent of new hybrid CMOS Molecular (CMOL) technologies. To date, only a very few papers have been published on this topic. Specifically, little is know regarding partial or full match is possible in CMOL technologies which use CMOS and memristors. To this end, a new approach to implement partial of full matching in associative memory is introduced. The method is based on complementary transformations at the input. This method is augmented with transformations that specifically enhance partial or full matching of the input data while improving the performance. Experimental results show that the proposed methodology can achieve better performance than similar designs in the literature.

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DO - 10.1109/ICOSP.2014.7015242

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84937964523

VL - 2015-January

SP - 1463

EP - 1468

BT - International Conference on Signal Processing Proceedings, ICSP

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2014 12th IEEE International Conference on Signal Processing, ICSP 2014

Y2 - 19 October 2014 through 23 October 2014

ER -

Matching in memristor based auto-associative memory with application to pattern recognition

Abstract

Conference

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Yield and reliability enhancement techniques for novel memory devices

Cite this

Matching in memristor based auto-associative memory with application to pattern recognition

Abstract

Conference

Access to Document

Handle.net

Other files and links

Fingerprint

Projects

Yield and reliability enhancement techniques for novel memory devices

Cite this