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Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case

SIAM Journal on Imaging Sciences(2020)10.1137/19m1304210Source: DataRank Database

Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case is a research paper published in SIAM Journal on Imaging Sciences (2020). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.27)OA: greenTopics (26)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Ganesh Sundaramoorthi ORCID,Minas Benyamin ORCID,Anthony Yezzi ORCID

Live enrichment

PubMed:34336084 PMC:PMC8320808 OpenAlex:https://openalex.org/W2768923100

Army Research Laboratory

Grant: W911NF-18-1-0281

National Institutes of Health

Grant: R01-HL-143350

NHLBI NIH HHS

Grant: R01 HL143350

FWCI

0.27

Citation Percentile

0.6%

Citation Trend

2018

2019

2020

2022

green

repositoryhttps://arxiv.org/pdf/1711.09867

publisherhttps://epubs.siam.org/doi/pdf/10.1137/19M1304210

repositoryhttps://arxiv.org/abs/1711.09867

journalhttps://doi.org/10.1137/19m1304210

Fields of Study

Gaussian Processes and Bayesian InferenceModel Reduction and Neural NetworksStochastic Gradient Optimization Techniques

Keywords

Gradient descentMathematical optimizationOdeMathematicsDivergence (linguistics)Optimization problemApplied mathematicsBayesian optimizationComputer scienceArtificial intelligenceArtificial neural networkAccelerationPartial Differential EquationsManifoldsVariational35B3535J2065M99Nesterov49m9953c99Mass Transport Optimization35R30