{"id":"https://openalex.org/W2530094444","doi":"https://doi.org/10.1145/2983563.2983564","title":"News Event Understanding by Mining Latent Factors From Multimodal Tensors","display_name":"News Event Understanding by Mining Latent Factors From Multimodal Tensors","publication_year":2016,"publication_date":"2016-10-11","ids":{"openalex":"https://openalex.org/W2530094444","doi":"https://doi.org/10.1145/2983563.2983564","mag":"2530094444"},"language":"en","primary_location":{"id":"doi:10.1145/2983563.2983564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983563.2983564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion","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/A5090427081","display_name":"Chun-Yu Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chun-Yu Tsai","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082182244","display_name":"Ruilin Xu","orcid":"https://orcid.org/0000-0003-2745-8989"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruilin Xu","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044109301","display_name":"R. Colgan","orcid":"https://orcid.org/0000-0002-2008-2512"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert E. Colgan","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088235357","display_name":"John R. Kender","orcid":"https://orcid.org/0009-0009-2522-053X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Kender","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090427081"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05180534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9781000018119812,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9406999945640564,"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/event","display_name":"Event (particle physics)","score":0.7337209582328796},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7128998041152954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050111293792725},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4112325608730316},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3913673162460327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3909582793712616},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36220309138298035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2748669683933258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16628620028495789}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7337209582328796},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7128998041152954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050111293792725},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4112325608730316},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3913673162460327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3909582793712616},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36220309138298035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2748669683933258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16628620028495789},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983563.2983564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983563.2983564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G1355342709","display_name":null,"funder_award_id":"IIS-1513853","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1921200167","https://openalex.org/W1926243429","https://openalex.org/W1929593512","https://openalex.org/W1999527151","https://openalex.org/W2009685860","https://openalex.org/W2012663104","https://openalex.org/W2025552247","https://openalex.org/W2043545458","https://openalex.org/W2047871136","https://openalex.org/W2067577150","https://openalex.org/W2069214509","https://openalex.org/W2077464536","https://openalex.org/W2081987483","https://openalex.org/W2104819583","https://openalex.org/W2112615110","https://openalex.org/W2117309679","https://openalex.org/W2123698353","https://openalex.org/W2133576408","https://openalex.org/W2133777872","https://openalex.org/W2135046866","https://openalex.org/W2139694940","https://openalex.org/W2156481234","https://openalex.org/W2248736178","https://openalex.org/W2434205482","https://openalex.org/W2587033547","https://openalex.org/W4253934678","https://openalex.org/W6679863909"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2950281908","https://openalex.org/W2963117165","https://openalex.org/W2084977674","https://openalex.org/W2583828359","https://openalex.org/W3102011585","https://openalex.org/W2037667647","https://openalex.org/W2954309532"],"abstract_inverted_index":{"We":[0,71,100],"present":[1],"a":[2,13,21,25,59],"novel":[3],"and":[4,42,97,119],"efficient":[5],"constrained":[6],"tensor":[7,27],"factorization":[8],"algorithm":[9,46],"that":[10],"first":[11],"represents":[12,58],"video":[14],"archive,":[15],"of":[16,28,56,62,67,74,90,115],"multimedia":[17],"news":[18,22,69,88],"stories":[19],"concerning":[20],"event,":[23],"as":[24],"sparse":[26],"order":[29],"4.":[30],"The":[31,44],"dimensions":[32],"correspond":[33],"to":[34,109,112],"extracted":[35,76],"visual":[36],"memes,":[37],"verbal":[38],"tags,":[39],"time":[40],"periods":[41],"cultures.":[43],"iterative":[45],"then":[47],"approximately":[48],"but":[49],"accurately":[50],"ex-":[51],"tracts":[52],"coherent":[53],"quad-clusters,":[54],"each":[55],"which":[57],"significant":[60],"summary":[61],"an":[63],"important":[64],"independent":[65],"aspect":[66],"the":[68,86,91,102],"event.":[70],"give":[72,110],"examples":[73],"quad-clusters":[75],"from":[77,85],"tensors":[78],"with":[79],"at":[80],"least":[81],"108":[82],"entries":[83],"derived":[84],"international":[87],"coverage":[89],"Ebola":[92],"epidemic,":[93],"AirAsia":[94],"flight":[95],"Q8501":[96],"Zika":[98],"virus.":[99],"show":[101],"method":[103],"is":[104],"fast,":[105],"can":[106],"be":[107],"tuned":[108],"preferences":[111],"any":[113],"subset":[114],"its":[116],"four":[117],"dimensions,":[118],"exceeds":[120],"three":[121],"existing":[122],"methods":[123],"in":[124],"performance.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}