ves NIST -- National Institute of Standards and Technology, data.nist.gov (Standard Reference / public data, DCAT/NERDm). {"@context":["https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",{"@base":"ark:/88434/mds116x1qs"}],"_schema":"https://data.nist.gov/od/dm/nerdm-schema/v0.7#","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"],"@type":["nrdp:PublicDataResource"],"@id":"ark:/88434/mds116x1qs","doi":"doi:10.18434/T4/1502501","title":"Fast Dynamic Programming for Elastic Registration of Curves","contactPoint":{"fn":"Javier Bernal","hasEmail":"mailto:javier.bernal@nist.gov"},"issued":"2018-07-24","modified":"2019-07-11","ediid":"6FCA2C44E87B3E49E05324570681DCB11939","landingPage":"https://data.nist.gov/od/id/6FCA2C44E87B3E49E05324570681DCB11939","description":["This is a software suite for computing optimal diffeomorphisms for elastic registration of curves. Algorithm adapt-DP is based on DP (dynamic programming) restricted to an adapting strip which is able to perform this computation in linear time. Description of Algorithm adapt-DP can be found in \"Fast Dynamic Programming for Elastic Registration of Curves\", Proceedings of the 2nd International Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16) in conjunction with Computer Vision Pattern Recognition Conference (CVPR) 2016, Las Vegas, Nevada, June 26-July 1, 2016. The zip file Fast_Dynamic_Programming.zip contains copies of implementation of Algorithm adapt-DP as Fortran files (a Matlab Fortran mex file and a Python compatible Fortran file) for execution with Matlab/Python, Matlab/Python test files for executing adapt-DP Matlab Fortran mex file and Python compatible Fortran file, respectively, example data files, usage instructions in README files, etc."],"keyword":["dynamic programming","shape analysis","elastic registration","adapting strip"],"theme":["Mathematics and Statistics:Image and signal processing"],"topic":[],"references":[{"@type":["deo:BibliographicReference"],"@id":"#ref:10.1109/CVPRW.2016.137","refType":"IsReferencedBy","location":"https://dx.doi.org/10.1109/CVPRW.2016.137","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"]}],"accessLevel":"public","license":"https://www.nist.gov/open/license","components":[{"description":"DOI Access to Fast Dynamic Programming for Elastic Registration of Curves","title":"DOI Access to Fast Dynamic Programming for Elastic Registration of Curves","accessURL":"https://doi.org/10.18434/T4/1502501","format":"text/html","@type":["nrd:Hidden","dcat:Distribution"],"@id":"#doi:10.18434/T4/1502501"},{"description":"Hash of the data file","format":{"description":"SHA256"},"@id":"cmps/Fast_Dynamic_Programming.zip.sha256","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"],"algorithm":{"@type":"Thing","tag":"sha256"},"filepath":"Fast_Dynamic_Programming.zip.sha256","checksum":{"hash":"49c1063c2b867f265bf8e4d70fe87ca9e6b0e74d19456e5e311af3a9caccb924","algorithm":{"tag":"sha256","@type":"Thing"}},"title":"SHA256 Hash","mediaType":"text/plain","downloadURL":"https://data.nist.gov/od/ds/6FCA2C44E87B3E49E05324570681DCB11939/Fast_Dynamic_Programming.zip.sha256","describes":"cmps/Fast_Dynamic_Programming.zip","size":64,"@type":["nrdp:ChecksumFile","nrdp:DownloadableFile","dcat:Distribution"],"valid":true},{"description":"zip file with copies of implementation of Algorithm adapt-DP as Fortran files (a Matlab Fortran mex file and a Python compatible Fortran file) for execution with Matlab/Python, Matlab/Python test file for executing adapt-DP Matlab Fortran mex file and Python compatible Fortran file, respectively, example data files, usage intructions in README files, etc. Algorithm adapt-DP is based on DP (dynamic programming) restricted to an adapting strip for computing in linear time optimal diffeomorphisms for elastic registration of curves. Description of Algorithm adapt-DP can be found in \"Fast Dynamic Programming for Elastic Registration of Curves\", Proceedings of the 2nd International Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16) in conjunction with Computer Vision Pattern Recognition Conference (CVPR) 2016, Las Vegas, Nevada, June 26-July 1, 2016.","filepath":"Fast_Dynamic_Programming.zip","checksum":{"hash":"8ab14b78de59886bccd6d984a6fa4d9bf676682303d0bfe5d3e83fff83b7168e","algorithm":{"tag":"sha256","@type":"Thing"}},"format":{"description":"zip archive"},"title":"Fast_Dynamic_Programming.zip","mediaType":"application/zip","downloadURL":"https://data.nist.gov/od/ds/6FCA2C44E87B3E49E05324570681DCB11939/Fast_Dynamic_Programming.zip","size":807452,"@id":"cmps/Fast_Dynamic_Programming.zip","@type":["nrdp:DataFile","nrdp:DownloadableFile","dcat:Distribution"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"]}],"publisher":{"name":"National Institute of Standards and Technology","@type":"org:Organization"},"language":["en"],"bureauCode":["006:55"],"programCode":["006:045"],"version":"1.0.1","releaseHistory":{"@id":"ark:/88434/mds116x1qs/pdr:v","@type":["nrdr:ReleaseHistory"],"hasRelease":[{"version":"1.0.0","issued":"2018-07-24","@id":"ark:/88434/mds116x1qs/pdr:v/1.0.0","location":"https://data.nist.gov/od/id/ark:/88434/mds116x1qs/pdr:v/1.0.0","description":"initial release"},{"version":"1.0.1","issued":"2019-07-11","@id":"ark:/88434/mds116x1qs/pdr:v/1.0.1","location":"https://data.nist.gov/od/id/ark:/88434/mds116x1qs/pdr:v/1.0.1","description":"metadata update"}]}},