Shift invariant pattern recognition by associative memory

Jennie Si; A. N. Michel

doi:10.1109/ISCAS.1992.230641

Shift invariant pattern recognition by associative memory

Jennie Si, A. N. Michel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a network architecture that can perform shif invariant patter recognition. The network is composed of a preprocessing block and an associative memory block (a recurrent neural network). The preprocessing network is designed in such a way that the output of this block is "almost" invariant under shifted input patters (i.e., initial conditions for the neural network). The assoiative memory block is employed to recall the original patterns stored in the system. A step by step design procedure for realizing shift invariant patter recognition is provided.

Original language	English (US)
Title of host publication	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2913-2916
Number of pages	4
ISBN (Electronic)	0780305930
DOIs	https://doi.org/10.1109/ISCAS.1992.230641
State	Published - 1992
Event	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, United States Duration: May 10 1992 → May 13 1992

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	6
ISSN (Print)	0271-4310

Conference

Conference	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Country/Territory	United States
City	San Diego
Period	5/10/92 → 5/13/92

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.1992.230641

Cite this

Si, J., & Michel, A. N. (1992). Shift invariant pattern recognition by associative memory. In 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 (pp. 2913-2916). Article 230641 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.1992.230641

Shift invariant pattern recognition by associative memory. / Si, Jennie; Michel, A. N.
1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 2913-2916 230641 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Si, J & Michel, AN 1992, Shift invariant pattern recognition by associative memory. in 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992., 230641, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 6, Institute of Electrical and Electronics Engineers Inc., pp. 2913-2916, 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992, San Diego, United States, 5/10/92. https://doi.org/10.1109/ISCAS.1992.230641

@inproceedings{c3daf7e086854f86a7e00075e19af0e0,

title = "Shift invariant pattern recognition by associative memory",

abstract = "We present a network architecture that can perform shif invariant patter recognition. The network is composed of a preprocessing block and an associative memory block (a recurrent neural network). The preprocessing network is designed in such a way that the output of this block is {"}almost{"} invariant under shifted input patters (i.e., initial conditions for the neural network). The assoiative memory block is employed to recall the original patterns stored in the system. A step by step design procedure for realizing shift invariant patter recognition is provided.",

author = "Jennie Si and Michel, {A. N.}",

note = "Funding Information: *Support?d in part by th? National Sci?nce Foundation under grant ECS 88-02924 Funding Information: Supported in part by the National Science Foundation under grant ECS 88-02924 Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 ; Conference date: 10-05-1992 Through 13-05-1992",

year = "1992",

doi = "10.1109/ISCAS.1992.230641",

language = "English (US)",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2913--2916",

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AU - Michel, A. N.

N1 - Funding Information: *Support?d in part by th? National Sci?nce Foundation under grant ECS 88-02924 Funding Information: Supported in part by the National Science Foundation under grant ECS 88-02924 Publisher Copyright: © 1992 IEEE.

PY - 1992

Y1 - 1992

N2 - We present a network architecture that can perform shif invariant patter recognition. The network is composed of a preprocessing block and an associative memory block (a recurrent neural network). The preprocessing network is designed in such a way that the output of this block is "almost" invariant under shifted input patters (i.e., initial conditions for the neural network). The assoiative memory block is employed to recall the original patterns stored in the system. A step by step design procedure for realizing shift invariant patter recognition is provided.

AB - We present a network architecture that can perform shif invariant patter recognition. The network is composed of a preprocessing block and an associative memory block (a recurrent neural network). The preprocessing network is designed in such a way that the output of this block is "almost" invariant under shifted input patters (i.e., initial conditions for the neural network). The assoiative memory block is employed to recall the original patterns stored in the system. A step by step design procedure for realizing shift invariant patter recognition is provided.

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DO - 10.1109/ISCAS.1992.230641

M3 - Conference contribution

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T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 2913

EP - 2916

BT - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

Y2 - 10 May 1992 through 13 May 1992

ER -

Shift invariant pattern recognition by associative memory

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