A hierarchical multiclassifier system for automated analysis of delayered IC images
A robust and accurate machine learning based hierarchical multiclassifier system is proposed to automate the retrieval of interconnection information from delayered integrated circuits images. The proposed system replaces labor-intensive manual annotation process and provides an effective approach f...
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sg-ntu-dr.10356-1508072021-06-09T01:31:08Z A hierarchical multiclassifier system for automated analysis of delayered IC images Cheng, Deruo Shi, Yiqiong Gwee, Bah-Hwee Toh, Kar-Ann Lin, Tong School of Electrical and Electronic Engineering Temasek Laboratories @ NTU Engineering::Electrical and electronic engineering Shape Integrated Circuits A robust and accurate machine learning based hierarchical multiclassifier system is proposed to automate the retrieval of interconnection information from delayered integrated circuits images. The proposed system replaces labor-intensive manual annotation process and provides an effective approach for the automated analysis of state-of-the-art deep submicron IC chips. 2021-06-09T01:31:08Z 2021-06-09T01:31:08Z 2019 Journal Article Cheng, D., Shi, Y., Gwee, B., Toh, K. & Lin, T. (2019). A hierarchical multiclassifier system for automated analysis of delayered IC images. IEEE Intelligent Systems, 34(2), 36-43. https://dx.doi.org/10.1109/MIS.2018.2886669 1541-1672 https://hdl.handle.net/10356/150807 10.1109/MIS.2018.2886669 2-s2.0-85058663657 2 34 36 43 en IEEE Intelligent Systems © 2018 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Shape Integrated Circuits Cheng, Deruo Shi, Yiqiong Gwee, Bah-Hwee Toh, Kar-Ann Lin, Tong A hierarchical multiclassifier system for automated analysis of delayered IC images |
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A robust and accurate machine learning based hierarchical multiclassifier system is proposed to automate the retrieval of interconnection information from delayered integrated circuits images. The proposed system replaces labor-intensive manual annotation process and provides an effective approach for the automated analysis of state-of-the-art deep submicron IC chips. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Cheng, Deruo Shi, Yiqiong Gwee, Bah-Hwee Toh, Kar-Ann Lin, Tong |
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Article |
author |
Cheng, Deruo Shi, Yiqiong Gwee, Bah-Hwee Toh, Kar-Ann Lin, Tong |
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Cheng, Deruo |
title |
A hierarchical multiclassifier system for automated analysis of delayered IC images |
title_short |
A hierarchical multiclassifier system for automated analysis of delayered IC images |
title_full |
A hierarchical multiclassifier system for automated analysis of delayered IC images |
title_fullStr |
A hierarchical multiclassifier system for automated analysis of delayered IC images |
title_full_unstemmed |
A hierarchical multiclassifier system for automated analysis of delayered IC images |
title_sort |
hierarchical multiclassifier system for automated analysis of delayered ic images |
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2021 |
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https://hdl.handle.net/10356/150807 |
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1702431178043162624 |