Deep Sparse Band Selection for Hyperspectral Face Recognition | Paper Citation Record

Observation b7881735-4619-43f1-9364-d316acd9fc07 · outbound

This paper cites An overview of spectral imaging of human skin toward face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition An overview of spectral imaging of human skin toward face recognition,

Reference 1

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This paper cites Face recognition in hyperspectral images,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Face recognition in hyperspectral images,

Reference 2

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This paper cites Hyperspectral face recognition with spatiospectral information fusion and PLS regression,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Hyperspectral face recognition with spatiospectral information fusion and PLS regression,

Reference 3

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Observation 33dc4450-7e9f-4c88-8653-c53def716aec · outbound

This paper cites Comparison of A VIRIS and Hyperion for hyperspectral mineral map- ping,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Comparison of A VIRIS and Hyperion for hyperspectral mineral map- ping,

Reference 4

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This paper cites Comparison of spectral-only and spectral/spatial face recognition for personal identity veriﬁcation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Comparison of spectral-only and spectral/spatial face recognition for personal identity veriﬁcation,

Reference 5

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This paper cites Quest hierarchy for hyperspectral face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Quest hierarchy for hyperspectral face recognition,

Reference 6

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This paper cites Gross, J.

Deep Sparse Band Selection for Hyperspectral Face Recognition Gross, J

Reference 7

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Observation 6a943c4b-e6e2-4456-a451-0dbb1f25d744 · outbound

This paper cites Appearance-based face recognition and light-ﬁelds,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Appearance-based face recognition and light-ﬁelds,

Reference 8

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This paper cites Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class,

Reference 9

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Observation 17fd9280-6782-4e70-a380-0527991a0a0e · outbound

This paper cites Comparison of visible and infra-red im- agery for face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Comparison of visible and infra-red im- agery for face recognition,

Reference 10

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Observation fcf3a009-130d-4f89-ae06-e98f7493e234 · outbound

This paper cites Face identiﬁcation across different poses and illu- minations with a 3D morphable model,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Face identiﬁcation across different poses and illu- minations with a 3D morphable model,

Reference 11

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Observation c6b037c8-eca8-4fd1-81fc-6de908bcbc32 · outbound

This paper cites The optics of human skin,.

Deep Sparse Band Selection for Hyperspectral Face Recognition The optics of human skin,

Reference 12

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Observation 3d9373db-7ab4-4fea-bc4e-f079318904cf · outbound

This paper cites The pigments and color of living human skin,.

Deep Sparse Band Selection for Hyperspectral Face Recognition The pigments and color of living human skin,

Reference 13

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Observation e3996195-4b28-4bc6-9226-ab99b122d41b · outbound

This paper cites Independent-component analysis of skin color image,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Independent-component analysis of skin color image,

Reference 14

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Observation 26a6ae5c-4c25-4177-a0fd-58f4d3a59e27 · outbound

This paper cites Multispectral skin color modeling,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Multispectral skin color modeling,

Reference 15

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Observation c94aea9c-f794-4b25-aa0e-04f65a282824 · outbound

This paper cites Review of snapshot spectral imaging technologies,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Review of snapshot spectral imaging technologies,

Reference 16

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This paper cites Toward hyperspectral face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Toward hyperspectral face recognition,

Reference 17

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Observation 96f089b7-49d9-4045-b9b7-15a135f7aa6c · outbound

This paper cites Studies on hyperspectral face recognition in visible spectrum with feature band selection,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Studies on hyperspectral face recognition in visible spectrum with feature band selection,

Reference 18

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Observation 64e43b7d-f425-4bd8-be76-cac9ec1335f7 · outbound

This paper cites Hyperspectral face recognition using 3D Gabor wavelets,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Hyperspectral face recognition using 3D Gabor wavelets,

Reference 19

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Observation e7ca8041-9328-47d6-aa97-19e35d01ca96 · outbound

This paper cites Methodology for hyperspectral band selection,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Methodology for hyperspectral band selection,

Reference 20

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This paper cites A joint band prioritization and band- decorrelation approach to band selection for hyperspectral image classiﬁcation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition A joint band prioritization and band- decorrelation approach to band selection for hyperspectral image classiﬁcation,

Reference 21

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Observation a4e0d403-6e7d-4d93-8866-f7f845b047ce · outbound

This paper cites Classiﬁcation of hyperspectral remote sensing images with support vector machines,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Classiﬁcation of hyperspectral remote sensing images with support vector machines,

Reference 22

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This paper cites Best bands selection for detection in hyperspectral processing,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Best bands selection for detection in hyperspectral processing,

Reference 23

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This paper cites Band selection and its impact on target detection and classiﬁcation in hyperspectral image analysis,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Band selection and its impact on target detection and classiﬁcation in hyperspectral image analysis,

Reference 24

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Observation 6c54cce4-c037-4726-acda-6093f25c1b3f · outbound

This paper cites Automatic reduction of hyperspectral im- agery using wavelet spectral analysis,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Automatic reduction of hyperspectral im- agery using wavelet spectral analysis,

Reference 25

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This paper cites Spectral band selection for visible-near infrared remote sensing: spectral- spatial resolution tradeoffs,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Spectral band selection for visible-near infrared remote sensing: spectral- spatial resolution tradeoffs,

Reference 26

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Observation a4c956b3-c322-414d-a3a6-90462b611c3c · outbound

This paper cites Reliable face anti-spooﬁng using multispectral swir imaging,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Reliable face anti-spooﬁng using multispectral swir imaging,

Reference 27

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Observation b23100b2-c1f0-407c-a730-52dc0ad569d5 · outbound

This paper cites Dynamic best spectral bands selection for face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Dynamic best spectral bands selection for face recognition,

Reference 28

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This paper cites Restoring highly corrupted images by impulse noise using radial basis functions interpolation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Restoring highly corrupted images by impulse noise using radial basis functions interpolation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.655480Z

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Observation 96c9c609-9cda-4246-93d5-d3a180837bfc · outbound

This paper cites Hyperspectral image classiﬁcation via ker- nel sparse representation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Hyperspectral image classiﬁcation via ker- nel sparse representation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.633573Z

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Observation caacbb15-939e-445f-b7a2-4af9628c7c50 · outbound

This paper cites Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition.

Deep Sparse Band Selection for Hyperspectral Face Recognition Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:10:40.584856Z

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Observation 5141f1d9-df8a-40f5-9f0d-e911f4587a6e · outbound

This paper cites Facial attribute guided deep cross- modal hashing for face image retrieval,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Facial attribute guided deep cross- modal hashing for face image retrieval,

Reference 32

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Observation db467c8d-f04f-420c-a0f9-dece2b5561bd · outbound

This paper cites Using deep cross modal hashing and error correcting codes for improving the efﬁciency of attribute guided facial image retrieval,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Using deep cross modal hashing and error correcting codes for improving the efﬁciency of attribute guided facial image retrieval,

Reference 33

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Observation db4187a3-dd5d-41b3-966a-9d31f2dff604 · outbound

This paper cites Matrix completion for graph-based deep semi-supervised learning,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Matrix completion for graph-based deep semi-supervised learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.582384Z

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Observation f3306554-f543-4096-9e78-f233420b7a59 · outbound

This paper cites Unsupervised image-to-image translation using domain-speciﬁc variational information bound,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Unsupervised image-to-image translation using domain-speciﬁc variational information bound,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.563836Z

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Observation 4d3dc45a-fa1e-48a7-ae1a-1bb2f5498216 · outbound

This paper cites Unsupervised facial geometry learning for sketch to photo synthesis,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Unsupervised facial geometry learning for sketch to photo synthesis,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.546722Z

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Observation 09582a48-5ec2-4d8d-bbbc-2b34794dd408 · outbound

This paper cites Multibiometric secure system based on deep learning,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Multibiometric secure system based on deep learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.530014Z

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Observation 0a4d1b15-54fc-4cf6-9381-40d8ff49c166 · outbound

This paper cites Biometrics-as-a-service: A framework to promote innovative biometric recognition in the cloud,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Biometrics-as-a-service: A framework to promote innovative biometric recognition in the cloud,

Reference 38

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Observation cc16ff86-30f7-4ba3-93ba-7d9f27e0b6d4 · outbound

This paper cites Deep residual learning for image recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Deep residual learning for image recognition,

Reference 39

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Observation 9fb53fb0-3185-413e-ab74-fcc41a5ab35a · outbound

This paper cites Imagenet classiﬁcation with deep convo- lutional neural networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Imagenet classiﬁcation with deep convo- lutional neural networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.475170Z

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Observation a8362356-f8a7-4ba8-b8db-150de1d54dd4 · outbound

This paper cites Scalable object detection using deep neural networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Scalable object detection using deep neural networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.457230Z

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Observation 2be533ca-88c6-4dde-8a19-4e49b55be6c0 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.439237Z

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Observation 30ccc9a1-3bff-4a7e-9b8d-7f385db97a32 · outbound

This paper cites Defending Against Adversarial Iris Examples Using Wavelet Decomposition.

Deep Sparse Band Selection for Hyperspectral Face Recognition Defending Against Adversarial Iris Examples Using Wavelet Decomposition

Reference 44

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Observation b373da44-e8f9-44ac-9fbb-af2ad420ba6b · outbound

This paper cites Prosodic-enhanced siamese convolutional neural networks for cross-device text-independent speaker veriﬁcation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Prosodic-enhanced siamese convolutional neural networks for cross-device text-independent speaker veriﬁcation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.421017Z

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Observation d8514cc5-ffe4-4d3f-a64e-a61101ff46df · outbound

This paper cites Adversarial Examples to Fool Iris Recognition Systems.

Deep Sparse Band Selection for Hyperspectral Face Recognition Adversarial Examples to Fool Iris Recognition Systems

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:10:40.505559Z

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Observation 2980f5f5-3d87-4cb6-8637-4fc4ef2203ff · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Mastering the game of go with deep neural networks and tree search,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.402907Z

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Observation 0ccd4d13-093f-4fe1-a62c-c5d18ce781ab · outbound

This paper cites Deep residual networks for hyperspectral image classiﬁcation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Deep residual networks for hyperspectral image classiﬁcation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.384453Z

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Observation f99f232e-564e-47ec-a0d8-c64fbdcb409a · outbound

This paper cites Hyperspectral band selection based on deep convolu- tional neural network and distance density,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Hyperspectral band selection based on deep convolu- tional neural network and distance density,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.366269Z

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Observation c1929c2b-d04f-42e8-b529-5e495a423e26 · outbound

This paper cites A new hyperspec- tral band selection approach based on convolutional neural network,.

Deep Sparse Band Selection for Hyperspectral Face Recognition A new hyperspec- tral band selection approach based on convolutional neural network,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.346929Z

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Observation 1c1824fc-5f62-46f3-98f8-d8ee2bf4f002 · outbound

This paper cites Hyperspectral cnn for image classiﬁ- cation & band selection, with application to face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Hyperspectral cnn for image classiﬁ- cation & band selection, with application to face recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.328146Z

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Observation 8fad6df1-5f1d-4b2a-8790-1efe97c3bea8 · outbound

This paper cites A novel deep convolutional neural network for spectral-spatial classiﬁcation of hyperspectral data.,.

Deep Sparse Band Selection for Hyperspectral Face Recognition A novel deep convolutional neural network for spectral-spatial classiﬁcation of hyperspectral data.,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.305754Z

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Observation 1d50e142-d1df-47c3-a6b5-f33f2a8d12bb · outbound

This paper cites Feature band selection for online multispectral palmprint recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Feature band selection for online multispectral palmprint recognition,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.285204Z

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Observation 7768adac-190e-4430-a0c2-f8c9bad2cf10 · outbound

This paper cites Model selection and estimation in regression with grouped variables,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Model selection and estimation in regression with grouped variables,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.263829Z

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Observation c76f6b73-46e8-4365-8746-a299d6af3c91 · outbound

This paper cites Comparing biases for minimal network construction with back-propagation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Comparing biases for minimal network construction with back-propagation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.243816Z

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Observation 5a5a4ccb-cb80-4607-a88c-25088dad96f1 · outbound

This paper cites Second order derivatives for network pruning: Optimal brain surgeon,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Second order derivatives for network pruning: Optimal brain surgeon,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.216894Z

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This paper cites Learning both weights and connections for efﬁcient neural network,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Learning both weights and connections for efﬁcient neural network,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.198509Z

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This paper cites Learning structured sparsity in deep neural networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Learning structured sparsity in deep neural networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.175728Z

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This paper cites Pruning Filters for Efficient ConvNets.

Deep Sparse Band Selection for Hyperspectral Face Recognition Pruning Filters for Efficient ConvNets

Reference 59

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This paper cites Auto-Sizing Neural Networks: With Applications to n-gram Language Models.

Deep Sparse Band Selection for Hyperspectral Face Recognition Auto-Sizing Neural Networks: With Applications to n-gram Language Models

Reference 60

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This paper cites Learning the structure of deep convolutional networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Learning the structure of deep convolutional networks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.152980Z

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This paper cites The indian buffet process: An introduction and review,.

Deep Sparse Band Selection for Hyperspectral Face Recognition The indian buffet process: An introduction and review,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.136110Z

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Observation 0b069e48-b6a4-43a0-8166-0f0c102f9a7b · outbound

This paper cites Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures.

Deep Sparse Band Selection for Hyperspectral Face Recognition Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 63

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Observation 4fdd4d0a-b18c-46d1-b74b-fa3cc1c8f6dd · outbound

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Deep Sparse Band Selection for Hyperspectral Face Recognition Structured pruning of deep convolutional neural net- works,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.119195Z

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Observation 04c56d16-c9fd-430a-994a-09a079ea2eea · outbound

This paper cites Optimal brain damage,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Optimal brain damage,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.101861Z

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Observation 4da94e27-867b-4ac8-8cac-e24f8fc3911e · outbound

This paper cites High-Performance Neural Networks for Visual Object Classification.

Deep Sparse Band Selection for Hyperspectral Face Recognition High-Performance Neural Networks for Visual Object Classification

Reference 66

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This paper cites Deep roots: Improving cnn efﬁ- ciency with hierarchical ﬁlter groups,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Deep roots: Improving cnn efﬁ- ciency with hierarchical ﬁlter groups,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.084155Z

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Observation 8a50740b-962d-407e-b754-b338faa99b20 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Deep Sparse Band Selection for Hyperspectral Face Recognition MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 68

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Deep Sparse Band Selection for Hyperspectral Face Recognition Provable bounds for learning some deep repre- sentations,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.066275Z

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Observation b5897660-869f-4e72-b9ba-1c1f662122be · outbound

This paper cites Compressing Deep Convolutional Networks using Vector Quantization.

Deep Sparse Band Selection for Hyperspectral Face Recognition Compressing Deep Convolutional Networks using Vector Quantization

Reference 70

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This paper cites Fixed point optimization of deep convolutional neural networks for object recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Fixed point optimization of deep convolutional neural networks for object recognition,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.048130Z

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This paper cites Compressing neural networks with the hashing trick,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Compressing neural networks with the hashing trick,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.030135Z

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Observation c7ae900b-30c2-4ea6-9fb3-760b47186718 · outbound

This paper cites DSD: Dense-Sparse-Dense Training for Deep Neural Networks.

Deep Sparse Band Selection for Hyperspectral Face Recognition DSD: Dense-Sparse-Dense Training for Deep Neural Networks

Reference 73

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This paper cites Exploiting linear structure within convolutional networks for efﬁcient evaluation,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Exploiting linear structure within convolutional networks for efﬁcient evaluation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:41.011934Z

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Observation 44668e21-c826-4a04-9b59-b1afbb645194 · outbound

This paper cites Speeding up Convolutional Neural Networks with Low Rank Expansions.

Deep Sparse Band Selection for Hyperspectral Face Recognition Speeding up Convolutional Neural Networks with Low Rank Expansions

Reference 75

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This paper cites Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition.

Deep Sparse Band Selection for Hyperspectral Face Recognition Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Reference 76

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This paper cites Accelerating very deep convolutional networks for classiﬁcation and detection,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Accelerating very deep convolutional networks for classiﬁcation and detection,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.994037Z

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Observation 3f086915-7181-43af-a3b7-8638bdb350fe · outbound

This paper cites Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications.

Deep Sparse Band Selection for Hyperspectral Face Recognition Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

Reference 78

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This paper cites Regularization of neural networks using dropconnect,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Regularization of neural networks using dropconnect,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.976580Z

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Observation bfe075ce-ca52-4f7d-a8b0-236c2ba5b116 · outbound

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Deep Sparse Band Selection for Hyperspectral Face Recognition Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods

Reference 80

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Observation b3420beb-1420-45c6-a0ce-9dec3b241821 · outbound

This paper cites Human tracking using convolutional neural networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Human tracking using convolutional neural networks,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.960100Z

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Observation 57775963-a3fc-4bd0-ba1f-42df9d7d4165 · outbound

This paper cites Deeppose: Human pose estimation via deep neural net- works,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Deeppose: Human pose estimation via deep neural net- works,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.943544Z

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This paper cites Saliency detection by multi-context deep learn- ing,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Saliency detection by multi-context deep learn- ing,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.925926Z

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Observation da9fad81-f7da-42e0-8b14-d51ad109c9e3 · outbound

This paper cites Decaf: A deep convolutional activation feature for generic visual recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Decaf: A deep convolutional activation feature for generic visual recognition,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.909558Z

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Observation d06b5805-e125-49c2-9f81-a6d1b6234574 · outbound

This paper cites Object detection with deep learning: A review,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Object detection with deep learning: A review,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.892566Z

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Observation 83953eaf-c53b-4e24-a069-9ed5b7ee1c11 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Deep Sparse Band Selection for Hyperspectral Face Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 86

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Deep Sparse Band Selection for Hyperspectral Face Recognition Visualizing and understanding convolutional networks,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.876458Z

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Observation b2574be3-60d9-474a-8678-81141833b04b · outbound

This paper cites Stochastic Pooling for Regularization of Deep Convolutional Neural Networks.

Deep Sparse Band Selection for Hyperspectral Face Recognition Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-14T13:10:40.020422Z

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This paper cites Spectral representations for convolutional neural networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Spectral representations for convolutional neural networks,

Reference 89

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This paper cites Deep neural networks are easily fooled: High con- ﬁdence predictions for unrecognizable images,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Deep neural networks are easily fooled: High con- ﬁdence predictions for unrecognizable images,

Reference 90

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Observation bd8cd7a1-8313-42b6-b268-ea62b5c075ca · outbound

This paper cites Multi-scale orderless pooling of deep con- volutional activation features,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Multi-scale orderless pooling of deep con- volutional activation features,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.827439Z

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Observation 32b1a158-b3f8-4b5c-9fdf-71d2e56f5c1b · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

Deep Sparse Band Selection for Hyperspectral Face Recognition Striving for Simplicity: The All Convolutional Net

Reference 92

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This paper cites Wide Residual Networks.

Deep Sparse Band Selection for Hyperspectral Face Recognition Wide Residual Networks

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-14T13:10:40.047348Z

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This paper cites Imagenet classiﬁcation with deep convolu- tional neural networks,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Imagenet classiﬁcation with deep convolu- tional neural networks,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.810792Z

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Observation 960bb48d-5ae7-47f6-9b43-96236eda138a · outbound

This paper cites A discriminative feature learning approach for deep face recognition,.

Deep Sparse Band Selection for Hyperspectral Face Recognition A discriminative feature learning approach for deep face recognition,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.794589Z

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Observation 4d20b01f-ca7d-4fec-90b0-3259bc4ab089 · outbound

This paper cites Learning Face Representation from Scratch.

Deep Sparse Band Selection for Hyperspectral Face Recognition Learning Face Representation from Scratch

Reference 96

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Observation 61282f46-b1e8-45d4-b5b6-7c57ea657d89 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Sparse Band Selection for Hyperspectral Face Recognition Adam: A Method for Stochastic Optimization

Reference 97

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Deep Sparse Band Selection for Hyperspectral Face Recognition Unresolved cited work

Reference 98

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Observation 8cc49e8c-504a-4c10-a0d1-ee129fd23ef8 · outbound

This paper cites Hyperspectral face recognition using 3D-DCT and partial least squares.,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Hyperspectral face recognition using 3D-DCT and partial least squares.,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.762015Z

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Observation a91780e5-dfaf-4a9e-a13f-de64502a4537 · outbound

This paper cites Discriminative learning and recognition of image set classes using canonical correlations,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Discriminative learning and recognition of image set classes using canonical correlations,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:10:40.744625Z

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Observation ea7e5c64-56f8-4870-9bc3-6276060408c6 · outbound

This paper cites Manifold-manifold distance with application to face recognition based on image set,.

Deep Sparse Band Selection for Hyperspectral Face Recognition Manifold-manifold distance with application to face recognition based on image set,

Reference 101

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