{"id":"https://openalex.org/W2514132437","doi":"https://doi.org/10.1109/icip.2016.7532640","title":"Outlier faces detector via efficient cohesive subgraph identification","display_name":"Outlier faces detector via efficient cohesive subgraph identification","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2514132437","doi":"https://doi.org/10.1109/icip.2016.7532640","mag":"2514132437"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5101580521","display_name":"Yu Cheng","orcid":"https://orcid.org/0000-0002-2315-5641"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Cheng","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003836761","display_name":"Nalini Ratha","orcid":"https://orcid.org/0000-0001-7913-5722"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nalini Ratha","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078542580","display_name":"Sharath Pankanti","orcid":"https://orcid.org/0000-0001-6770-9899"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharath Pankanti","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101580521"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66081528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1659","last_page":"1663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932798862457275},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6743324398994446},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6179969906806946},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5776468515396118},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5536945462226868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525399446487427},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5401251912117004},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5140389204025269},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4973645508289337},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4739404022693634},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.47167548537254333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42690131068229675},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41630250215530396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4068479537963867},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36298686265945435},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2173827886581421},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07963776588439941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932798862457275},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6743324398994446},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6179969906806946},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5776468515396118},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5536945462226868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525399446487427},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5401251912117004},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5140389204025269},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4973645508289337},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4739404022693634},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.47167548537254333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42690131068229675},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41630250215530396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4068479537963867},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36298686265945435},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2173827886581421},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07963776588439941},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1649408115","https://openalex.org/W1938740620","https://openalex.org/W2015887370","https://openalex.org/W2027152858","https://openalex.org/W2072501842","https://openalex.org/W2111160323","https://openalex.org/W2118020555","https://openalex.org/W2122646361","https://openalex.org/W2123921160","https://openalex.org/W2132870739","https://openalex.org/W2217968126","https://openalex.org/W2398119937","https://openalex.org/W2482589566","https://openalex.org/W2547788783","https://openalex.org/W2950495522","https://openalex.org/W2963344330","https://openalex.org/W4302986894","https://openalex.org/W6684704092"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W71955863","https://openalex.org/W2359185137","https://openalex.org/W2610918223","https://openalex.org/W2085200861","https://openalex.org/W2567300168","https://openalex.org/W2184115898","https://openalex.org/W2789383625"],"abstract_inverted_index":{"A":[0],"personal":[1],"or":[2],"enterprise":[3],"collection":[4,86],"of":[5,9,16,39,78],"a":[6,48,60],"large":[7],"set":[8],"face":[10,57,61],"images":[11,58,85],"may":[12,31],"contain":[13],"many":[14,27],"types":[15],"tags":[17,25],"used":[18],"for":[19],"querying":[20],"the":[21,24,34,40,55,70,76,84,93],"collection.":[22,94],"Often":[23],"have":[26],"irrelevant":[28,56],"content":[29,36],"that":[30],"not":[32],"reflect":[33],"image":[35],"in":[37],"terms":[38],"facial":[41],"characteristics.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,82],"propose":[47],"data":[49],"curation":[50],"method":[51],"to":[52,92],"filter":[53],"out":[54],"using":[59,72],"recognition":[62],"based":[63],"subgraph":[64],"identification.":[65],"Results":[66],"on":[67],"retrievals":[68],"from":[69],"Internet":[71],"popular":[73],"celebrities":[74],"show":[75],"efficacy":[77],"our":[79,90],"approach":[80],"after":[81],"cleanse":[83],"retrieved":[87],"and":[88],"applying":[89],"algorithm":[91]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
