Multimodal Measurements Fusion for Surface Material Categorization

Liu, Huaping; Sun, Fuchun; Fang, Bin; Lu, Shan

doi:10.1109/TIM.2017.2764298

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Multimodal Measurements Fusion for Surface Material Categorization

Author(s): Huaping Liu , Fuchun Sun , Bin Fang , Shan Lu

Publication date (Print): February 2018

Journal: IEEE Transactions on Instrumentation and Measurement

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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For most large underdetermined systems of linear equations the minimal 1-norm solution is also the sparsest solution

David Donoho (2006)

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Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network

Zhuyun Chen, Weihua LI (2017)

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A feasible method for optimization with orthogonality constraints

Zaiwen Wen, Wotao Yin (2013)

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Author and article information

Journal

Title: IEEE Transactions on Instrumentation and Measurement

Abbreviated Title: IEEE Trans. Instrum. Meas.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 0018-9456

ISSN (Electronic): 1557-9662

Publication date Created: February 2018

Publication date (Print): February 2018

Volume: 67

Issue: 2

Pages: 246-256

Article

DOI: 10.1109/TIM.2017.2764298

SO-VID: ca70e5fe-6360-4b96-b038-2c4d8123e8ab

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Multimodal Measurements Fusion for Surface Material Categorization

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Multimodal Learning Material

Most cited references 37

For most large underdetermined systems of linear equations the minimal 1-norm solution is also the sparsest solution

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network

A feasible method for optimization with orthogonality constraints

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