{"id":"https://openalex.org/W2132798275","doi":"https://doi.org/10.1117/12.2038253","title":"Streamline similarity analysis using bag-of-features","display_name":"Streamline similarity analysis using bag-of-features","publication_year":2013,"publication_date":"2013-12-23","ids":{"openalex":"https://openalex.org/W2132798275","doi":"https://doi.org/10.1117/12.2038253","mag":"2132798275"},"language":"en","primary_location":{"id":"doi:10.1117/12.2038253","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2038253","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355214","display_name":"Yifei Li","orcid":"https://orcid.org/0000-0001-6507-7189"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yifei Li","raw_affiliation_strings":["Michigan Technological Univ. (United States)","Michigan Technological Univ., United States"],"affiliations":[{"raw_affiliation_string":"Michigan Technological Univ. (United States)","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"Michigan Technological Univ., United States","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101913450","display_name":"Chaoli Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaoli Wang","raw_affiliation_strings":["Michigan Technological Univ. (United States)","Michigan Technological Univ., United States"],"affiliations":[{"raw_affiliation_string":"Michigan Technological Univ. (United States)","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"Michigan Technological Univ., United States","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113860311","display_name":"Ching-Kuang Shene","orcid":null},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ching-Kuang Shene","raw_affiliation_strings":["Michigan Technological Univ. (United States)","Michigan Technological Univ., United States"],"affiliations":[{"raw_affiliation_string":"Michigan Technological Univ. (United States)","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"Michigan Technological Univ., United States","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100355214"],"corresponding_institution_ids":["https://openalex.org/I11957088"],"apc_list":null,"apc_paid":null,"fwci":1.493,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86812386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9017","issue":null,"first_page":"90170N","last_page":"90170N"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.710822582244873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6638960242271423},{"id":"https://openalex.org/keywords/streamlines-streaklines-and-pathlines","display_name":"Streamlines, streaklines, and pathlines","score":0.6525305509567261},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6153041124343872},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6119776964187622},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5885956287384033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5201102495193481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5054049491882324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4886203408241272},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.43068113923072815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17562156915664673}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.710822582244873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6638960242271423},{"id":"https://openalex.org/C60439489","wikidata":"https://www.wikidata.org/wiki/Q634407","display_name":"Streamlines, streaklines, and pathlines","level":2,"score":0.6525305509567261},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6153041124343872},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6119776964187622},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5885956287384033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5201102495193481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5054049491882324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4886203408241272},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.43068113923072815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17562156915664673},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2038253","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2038253","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-31343","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/12041","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W185797722","https://openalex.org/W1565212980","https://openalex.org/W1587477963","https://openalex.org/W1982366717","https://openalex.org/W1999094915","https://openalex.org/W2036163530","https://openalex.org/W2055468724","https://openalex.org/W2070002217","https://openalex.org/W2104741316","https://openalex.org/W2108807072","https://openalex.org/W2116938231","https://openalex.org/W2122519391","https://openalex.org/W2125101937","https://openalex.org/W2126565921","https://openalex.org/W2129130427","https://openalex.org/W2129390822","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2157931324","https://openalex.org/W2161160262","https://openalex.org/W2165232124","https://openalex.org/W3023786531","https://openalex.org/W4239213029","https://openalex.org/W4244644321","https://openalex.org/W4244997187","https://openalex.org/W6604828220","https://openalex.org/W6607535878","https://openalex.org/W6664328639","https://openalex.org/W6667669286","https://openalex.org/W6676485797","https://openalex.org/W6677629397","https://openalex.org/W6678268141","https://openalex.org/W6678893313","https://openalex.org/W7053304325"],"related_works":["https://openalex.org/W1680795328","https://openalex.org/W2916015609","https://openalex.org/W2085881860","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"Streamline":[0],"similarity":[1,15,75,86,107,139],"comparison":[2,16],"has":[3],"become":[4],"an":[5,80],"active":[6],"research":[7],"topic":[8],"recently.":[9],"We":[10,122],"present":[11],"a":[12,29],"novel":[13],"streamline":[14,37,106,138,142],"method":[17,110],"inspired":[18],"by":[19,129],"the":[20,47,60,63,74,85,93,124],"bag-of-features":[21],"idea":[22],"from":[23],"computer":[24],"vision.":[25],"Our":[26],"approach":[27,128],"computes":[28],"feature":[30,42,99],"vector,":[31],"spatially":[32],"sensitive":[33],"bag-of-features,":[34],"for":[35],"each":[36],"as":[38,92],"its":[39],"signature.":[40],"This":[41,69],"vector":[43],"not":[44],"only":[45],"encodes":[46],"statistical":[48],"distribution":[49,104],"of":[50,126],"combined":[51],"features":[52],"(e.g.,":[53],"curvature":[54],"and":[55,82,115,141],"torsion),":[56],"it":[57],"also":[58],"contains":[59],"information":[61],"on":[62],"spatial":[64],"relationship":[65],"among":[66],"different":[67],"features.":[68],"allows":[70],"us":[71],"to":[72,113],"measure":[73],"between":[76,87,97],"two":[77,88,131],"streamlines":[78,89],"in":[79,134],"efficient":[81],"accurate":[83],"way:":[84],"is":[90,111],"defined":[91],"weighted":[94],"Manhattan":[95],"distance":[96],"their":[98],"vectors.":[100],"Compared":[101],"with":[102],"previous":[103],"based":[105],"metrics,":[108],"our":[109,127],"easier":[112],"understand":[114],"implement,":[116],"yet":[117],"producing":[118],"even":[119],"better":[120],"results.":[121],"demonstrate":[123],"utility":[125],"considering":[130],"common":[132],"tasks":[133],"flow":[135],"field":[136],"exploration:":[137],"query":[140],"clustering.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}