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Tensor factor adjustment for image classification with pervasive noises

Stat(2024)10.1002/sta4.705Source: DataRank Database

Tensor factor adjustment for image classification with pervasive noises is a research paper published in Stat (2024). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 0.00)OA: closedTopics (19)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Bingnan Li ORCID,Wen‐Zhan Song ORCID,Ke Yuan ORCID,Xiaochuan Li ORCID

Live enrichment

PubMed:20725694 OpenAlex:https://openalex.org/W4400095173

National Science Foundation

Grant: NSF‐ 2312974

National Science Foundation

Grant: NSF‐1940864

National Science Foundation

Grant: NSF‐2019311

National Science Foundation

Grant: NSF‐2210468

National Science Foundation

Grant: NSF‐2243044

National Science Foundation

Grant: NSF‐2324389

National Institutes of Health

Grant: NIH‐1R01HL172291‐01

FWCI

0.00

Citation Percentile

0.1%

closedLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.705

journalhttps://doi.org/10.1002/sta4.705

Fields of Study

Tensor decomposition and applicationsAdvanced Neuroimaging Techniques and ApplicationsSparse and Compressive Sensing Techniques

Keywords

Principal component analysisTensor (intrinsic definition)Factor analysisFactor (programming language)Curse of dimensionalityRank (graph theory)EstimatorPattern recognition (psychology)Latent class modelMathematicsArtificial intelligenceComputer scienceApplied mathematicsStatisticsCombinatoricsPure mathematics