Rotation Invariant Neocognitron

A biologically inspired method that would reduce the computation load of the neocognitron supervised model is proposed. This method also provides a way to extend the neocognitron's invariance properties to include rotation invariance. The key idea is to incorporate a magnocellular pathway into...

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Main Author: TING, Christopher Hian Ann
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Language:English
Published: Institutional Knowledge at Singapore Management University 1991
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/780
https://doi.org/10.1109/IJCNN.1991.170717
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spelling sg-smu-ink.lkcsb_research-17792010-09-23T06:24:04Z Rotation Invariant Neocognitron TING, Christopher Hian Ann A biologically inspired method that would reduce the computation load of the neocognitron supervised model is proposed. This method also provides a way to extend the neocognitron's invariance properties to include rotation invariance. The key idea is to incorporate a magnocellular pathway into Fukushima'a algorithm. A basic shift in the paradigm is that an input is said to be recognized when and only when one of the winners of the magnocellular pathway is validated by the parvocellular pathway. This is a modification of the original model where only the activities of the (parvocellular) grandmother cells indicate recognition. The rotation invariance comes easily by making the magnocellular pathway produce an orientation winner for each grandmother cell, exploiting the Zk-symmetry in the cell-planes of the first stage. Then, with another round of competition, the magnocellular pathway submits a few hypotheses for validification. The author has implemented this method on transputers. The simulation program can recognize numerals in arbitrary orientation 1991-11-18T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/780 info:doi/10.1109/IJCNN.1991.170717 https://doi.org/10.1109/IJCNN.1991.170717 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Physical Sciences and Mathematics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Physical Sciences and Mathematics
spellingShingle Physical Sciences and Mathematics
TING, Christopher Hian Ann
Rotation Invariant Neocognitron
description A biologically inspired method that would reduce the computation load of the neocognitron supervised model is proposed. This method also provides a way to extend the neocognitron's invariance properties to include rotation invariance. The key idea is to incorporate a magnocellular pathway into Fukushima'a algorithm. A basic shift in the paradigm is that an input is said to be recognized when and only when one of the winners of the magnocellular pathway is validated by the parvocellular pathway. This is a modification of the original model where only the activities of the (parvocellular) grandmother cells indicate recognition. The rotation invariance comes easily by making the magnocellular pathway produce an orientation winner for each grandmother cell, exploiting the Zk-symmetry in the cell-planes of the first stage. Then, with another round of competition, the magnocellular pathway submits a few hypotheses for validification. The author has implemented this method on transputers. The simulation program can recognize numerals in arbitrary orientation
format text
author TING, Christopher Hian Ann
author_facet TING, Christopher Hian Ann
author_sort TING, Christopher Hian Ann
title Rotation Invariant Neocognitron
title_short Rotation Invariant Neocognitron
title_full Rotation Invariant Neocognitron
title_fullStr Rotation Invariant Neocognitron
title_full_unstemmed Rotation Invariant Neocognitron
title_sort rotation invariant neocognitron
publisher Institutional Knowledge at Singapore Management University
publishDate 1991
url https://ink.library.smu.edu.sg/lkcsb_research/780
https://doi.org/10.1109/IJCNN.1991.170717
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