Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:25:57.445337Z
Paper Citation Record · LEDGER
Non-negative Sparse and Collaborative Representation for Pattern Classification
As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:1908.07956.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
63 of 63 outbound references displayed
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- verified fuzzy47
- unresolved16
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f9344966-5715-40e1-b987-7b5bcb13ca9a · outbound
This paper cites an unresolved cited work.
Non-negative Sparse and Collaborative Representation for Pattern Classification Unresolved cited work
Reference 1
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Observation be1cbd14-4f32-4aba-8af2-e1b6e795a659 · outbound
This paper cites Wright, A.
Non-negative Sparse and Collaborative Representation for Pattern Classification Wright, A
Reference 2
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Observation ac35d128-ea9d-4376-a9df-669e8fb166c2 · outbound
This paper cites A probabilistic collaborative representation based approach for pattern classification.
Non-negative Sparse and Collaborative Representation for Pattern Classification A probabilistic collaborative representation based approach for pattern classification
Reference 3
- Resolution
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Observation 0c1f9c4f-8ac3-495c-b22f-84b77aeaf997 · outbound
This paper cites Cross version defect prediction with representative data via sparse subset selection.
Non-negative Sparse and Collaborative Representation for Pattern Classification Cross version defect prediction with representative data via sparse subset selection
Reference 4
- Resolution
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Observation db15b9d9-3a1e-4cc7-9296-b7e017083c3d · outbound
This paper cites Tstss: A two-stage training subset selection framework for cross version defect prediction.
Non-negative Sparse and Collaborative Representation for Pattern Classification Tstss: A two-stage training subset selection framework for cross version defect prediction
Reference 5
- Resolution
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Observation c4282e5f-a112-4610-b212-b2a79595277a · outbound
This paper cites Statistical learning theory, volume 1.
Non-negative Sparse and Collaborative Representation for Pattern Classification Statistical learning theory, volume 1
Reference 6
- Resolution
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Observation 58998bc7-967b-4a2c-a972-432b9d42e330 · outbound
This paper cites Acquiring linear subspaces for face recog- nition under variable lighting.
Non-negative Sparse and Collaborative Representation for Pattern Classification Acquiring linear subspaces for face recog- nition under variable lighting
Reference 7
- Resolution
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Observation e15abfc0-224f-41c0-80f0-f79306182f72 · outbound
This paper cites Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories.
Non-negative Sparse and Collaborative Representation for Pattern Classification Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
Reference 8
- Resolution
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Observation 7c3d2277-cd9a-4457-a253-54f4cfe0afb7 · outbound
This paper cites Linear spatial pyramid matching using sparse coding for image classification.
Non-negative Sparse and Collaborative Representation for Pattern Classification Linear spatial pyramid matching using sparse coding for image classification
Reference 9
- Resolution
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Observation b5ecf918-be6a-4a28-92e9-d49103b559dd · outbound
This paper cites an unresolved cited work.
Non-negative Sparse and Collaborative Representation for Pattern Classification Unresolved cited work
Reference 10
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Observation 79023f94-8d4e-4357-963b-24d9ef396e61 · outbound
This paper cites Discriminative k-svd for dictionary learning in face recognition.
Non-negative Sparse and Collaborative Representation for Pattern Classification Discriminative k-svd for dictionary learning in face recognition
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation 2e9ecd83-45d3-42b8-9eee-bc1634cb1a52 · outbound
This paper cites Fisher discrimination dictionary learning for sparse representation.
Non-negative Sparse and Collaborative Representation for Pattern Classification Fisher discrimination dictionary learning for sparse representation
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 33c74ea7-2f75-4cab-adcb-d521a83c7b27 · outbound
This paper cites Sparse representation or collaborative representation: Which helps face recognition? IEEE international conference on Computer vision (ICCV) , pages 471–478, 2011.
Non-negative Sparse and Collaborative Representation for Pattern Classification Sparse representation or collaborative representation: Which helps face recognition? IEEE international conference on Computer vision (ICCV) , pages 471–478, 2011
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 3117dbd2-ba8e-4c8d-b8ef-6ad317ac63b1 · outbound
This paper cites Imagenet classification with deep convo- lutional neural networks.
Non-negative Sparse and Collaborative Representation for Pattern Classification Imagenet classification with deep convo- lutional neural networks
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 29a62ec4-785a-45bb-af65-4d8113a56e76 · outbound
This paper cites Kernel sparse representation-based classifier.
Non-negative Sparse and Collaborative Representation for Pattern Classification Kernel sparse representation-based classifier
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 5694869e-eea5-4d74-bfdb-298672823a82 · outbound
This paper cites Jiang, Z.
Non-negative Sparse and Collaborative Representation for Pattern Classification Jiang, Z
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 2fa83139-28dc-469c-a0fb-9761b1476c0d · outbound
This paper cites Classification and boosting with multiple collaborative representations.
Non-negative Sparse and Collaborative Representation for Pattern Classification Classification and boosting with multiple collaborative representations
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 869dded0-4b92-4b7a-a96f-08bc75e8516f · outbound
This paper cites an unresolved cited work.
Non-negative Sparse and Collaborative Representation for Pattern Classification Unresolved cited work
Reference 18
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Source-reported events for the cited work
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Observation 93272bed-322c-453e-917f-89a178fde307 · outbound
This paper cites Deep residual learning for image recog- nition.
Non-negative Sparse and Collaborative Representation for Pattern Classification Deep residual learning for image recog- nition
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation d86a2f2f-f502-45f7-b3e2-36fa7ede38ed · outbound
This paper cites Weinberger.
Non-negative Sparse and Collaborative Representation for Pattern Classification Weinberger
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation c27cbc66-dd72-4404-bd96-54b900053313 · outbound
This paper cites Squeeze-and-excitation networks.
Non-negative Sparse and Collaborative Representation for Pattern Classification Squeeze-and-excitation networks
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 2250d35c-bcc0-4edf-abb1-1cceffc42d29 · outbound
This paper cites Sparse, collaborative, or nonnegative repre- sentation: Which helps pattern classification? Pattern Recognition, 88:679 – 688, 2019.
Non-negative Sparse and Collaborative Representation for Pattern Classification Sparse, collaborative, or nonnegative repre- sentation: Which helps pattern classification? Pattern Recognition, 88:679 – 688, 2019
Reference 22
- Resolution
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Observation e1b69c9d-46ff-4b74-b8f4-f3e17530f1f6 · outbound
This paper cites Learning the parts of objects by non-negative matrix factor- ization.
Non-negative Sparse and Collaborative Representation for Pattern Classification Learning the parts of objects by non-negative matrix factor- ization
Reference 23
- Resolution
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Observation 3d248d28-7af3-4181-a58f-b81b9bd55f14 · outbound
This paper cites Why is facial occlusion a challenging problem? In Advances in Biometrics: Third International Conference , pages 299–308, Berlin, Heidelberg, 2009.
Non-negative Sparse and Collaborative Representation for Pattern Classification Why is facial occlusion a challenging problem? In Advances in Biometrics: Third International Conference , pages 299–308, Berlin, Heidelberg, 2009
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 5926c315-4576-4b7c-a5fa-6d604004be32 · outbound
This paper cites Rigamonti, M.
Non-negative Sparse and Collaborative Representation for Pattern Classification Rigamonti, M
Reference 25
- Resolution
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Observation 846dc026-1172-45c7-bd84-52d7cfb3bb5d · outbound
This paper cites Regularization and variable selection via the elastic net.
Non-negative Sparse and Collaborative Representation for Pattern Classification Regularization and variable selection via the elastic net
Reference 26
- Resolution
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Observation dbf883e5-d688-486c-8813-050430019c4e · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Regression shrinkage and selection via the lasso
Reference 27
- Resolution
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Observation e1cd5aa8-2837-4c14-aa73-780fb09db052 · outbound
This paper cites Gradient-based learning applied to document recognition.
Non-negative Sparse and Collaborative Representation for Pattern Classification Gradient-based learning applied to document recognition
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation c0cffeb5-c0a1-45f2-abb4-9e0aefdc9d04 · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Bruna and S
Reference 29
- Resolution
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Reference 30
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Observation 19d8e10f-81c1-4f5c-92ab-d8e662c4020d · outbound
This paper cites Nearest neighbor pattern classification.
Non-negative Sparse and Collaborative Representation for Pattern Classification Nearest neighbor pattern classification
Reference 31
- Resolution
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Observation c5286d37-9024-44bd-8184-c42d63e53205 · outbound
This paper cites Lee and H Sebastian Seung.
Non-negative Sparse and Collaborative Representation for Pattern Classification Lee and H Sebastian Seung
Reference 32
- Resolution
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Reference 33
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Reference 37
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Reference 38
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Non-negative Sparse and Collaborative Representation for Pattern Classification Timofte and L
Reference 39
- Resolution
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Observation 666b0979-853d-4fc9-abb0-4dfa80e88324 · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Gosselin, N
Reference 40
- Resolution
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Observation 01111080-738a-4e8a-b9cc-fb298ad3f563 · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Discriminative collab- orative representation for classification
Reference 41
- Resolution
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Observation 39663578-6832-4324-9492-180955545b84 · outbound
This paper cites The why and how of nonnegative matrix factorization.
Non-negative Sparse and Collaborative Representation for Pattern Classification The why and how of nonnegative matrix factorization
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation 1cc1c4ac-1e0c-43ad-8556-bf5aed6a643a · outbound
This paper cites Non-negative least squares for high-dimensional linear models: Consistency and sparse recovery without regularization.
Non-negative Sparse and Collaborative Representation for Pattern Classification Non-negative least squares for high-dimensional linear models: Consistency and sparse recovery without regularization
Reference 43
- Resolution
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Observation 58e8f740-78fa-4e53-af0e-ccdcbcd30915 · outbound
This paper cites Better subset regression using the nonnegative garrote.
Non-negative Sparse and Collaborative Representation for Pattern Classification Better subset regression using the nonnegative garrote
Reference 44
- Resolution
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Observation cfda488b-e19b-42c2-8189-2d4e5e461951 · outbound
This paper cites Hierarchical als algorithms for nonnegative matrix and 3d tensor factorization.
Non-negative Sparse and Collaborative Representation for Pattern Classification Hierarchical als algorithms for nonnegative matrix and 3d tensor factorization
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation 89c3851a-9500-4dec-a368-f6a80d5328d1 · outbound
This paper cites an unresolved cited work.
Non-negative Sparse and Collaborative Representation for Pattern Classification Unresolved cited work
Reference 46
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Observation bbb6af3f-9fd3-4d85-9655-343c6f45b7b8 · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Eckstein and D
Reference 47
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Observation ac6a8b9f-079c-4899-ad3d-7a7df74cd910 · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Unresolved cited work
Reference 48
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Observation f25cd0df-427d-4bea-9368-81fee6ddd571 · outbound
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Non-negative Sparse and Collaborative Representation for Pattern Classification Georghiades, P.N
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation 324f3465-e9ae-4739-82c3-cc85c6e526f2 · outbound
This paper cites Martinez and R.
Non-negative Sparse and Collaborative Representation for Pattern Classification Martinez and R
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9228a0b3-7234-4c98-9bde-b469e78b7cac · outbound
This paper cites an unresolved cited work.
Non-negative Sparse and Collaborative Representation for Pattern Classification Unresolved cited work
Reference 51
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Source-reported events for the cited work
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Observation 031408aa-bac0-484e-8d8c-a829bc941ab5 · outbound
This paper cites Human action recognition by learning bases of action attributes and parts.
Non-negative Sparse and Collaborative Representation for Pattern Classification Human action recognition by learning bases of action attributes and parts
Reference 52
- Resolution
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- raw_fallback, observed 2026-08-14T12:25:57.655459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 67a405dc-84f0-4939-ad4e-f9833d4d3a21 · outbound
This paper cites Caltech-256 object category dataset.
Non-negative Sparse and Collaborative Representation for Pattern Classification Caltech-256 object category dataset
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.637827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 92f0f579-d7a8-4609-b819-476b97305ae6 · outbound
This paper cites The caltech-ucsd birds-200-2011 dataset.
Non-negative Sparse and Collaborative Representation for Pattern Classification The caltech-ucsd birds-200-2011 dataset
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:25:57.405720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f72379c-97a2-4692-b9a2-c29e32e962db · outbound
This paper cites Nilsback and A.
Non-negative Sparse and Collaborative Representation for Pattern Classification Nilsback and A
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.608317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 050123db-487b-4c95-adce-48a7a73b767e · outbound
This paper cites Fine-Grained Visual Classification of Aircraft.
Non-negative Sparse and Collaborative Representation for Pattern Classification Fine-Grained Visual Classification of Aircraft
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:25:57.414877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc9ef4d6-3aa5-403c-b1b6-e2596661799b · outbound
This paper cites 3d object representations for fine-grained categorization.
Non-negative Sparse and Collaborative Representation for Pattern Classification 3d object representations for fine-grained categorization
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.592966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fe0b4243-4ef0-4ff5-8032-ab6b76e46745 · outbound
This paper cites Liblinear: A library for large linear classification.
Non-negative Sparse and Collaborative Representation for Pattern Classification Liblinear: A library for large linear classification
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.574625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 86ed407d-beeb-47ac-88c8-16f417a76cbb · outbound
This paper cites Symbiotic segmentation and part local- ization for fine-grained categorization.
Non-negative Sparse and Collaborative Representation for Pattern Classification Symbiotic segmentation and part local- ization for fine-grained categorization
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.557572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cfc5cde1-0c98-45aa-9f53-e314b7cdf968 · outbound
This paper cites Bilinear cnn models for fine-grained visual recognition.
Non-negative Sparse and Collaborative Representation for Pattern Classification Bilinear cnn models for fine-grained visual recognition
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.543553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ed00b7c5-94c6-4ce0-bbac-d552532c9864 · outbound
This paper cites Vlfeat: An open and portable library of computer vision algorithms.
Non-negative Sparse and Collaborative Representation for Pattern Classification Vlfeat: An open and portable library of computer vision algorithms
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.529093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 905a3c34-c0e2-4e27-a200-ed81e8a722cc · outbound
This paper cites Distinctive image features from scale-invariant keypoints.
Non-negative Sparse and Collaborative Representation for Pattern Classification Distinctive image features from scale-invariant keypoints
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.513784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1c3cbd0b-ea41-49a6-9955-9357ff970879 · outbound
This paper cites Very deep convolutional networks for large-scale image recognition.
Non-negative Sparse and Collaborative Representation for Pattern Classification Very deep convolutional networks for large-scale image recognition
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:25:57.498389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.