{"id":"https://openalex.org/W2058987221","doi":"https://doi.org/10.1145/2733373.2806353","title":"Selective K-means Tree Search","display_name":"Selective K-means Tree Search","publication_year":2015,"publication_date":"2015-10-13","ids":{"openalex":"https://openalex.org/W2058987221","doi":"https://doi.org/10.1145/2733373.2806353","mag":"2058987221"},"language":"en","primary_location":{"id":"doi:10.1145/2733373.2806353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","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/A5100768123","display_name":"Tuan Anh Nguyen","orcid":"https://orcid.org/0000-0001-9562-7487"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tuan Anh Nguyen","raw_affiliation_strings":["Graduate School of Information Science and Technology, Tokyo, UNK, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Tokyo, UNK, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023905620","display_name":"Yusuke Matsui","orcid":"https://orcid.org/0000-0003-1529-0154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuke Matsui","raw_affiliation_strings":["Graduate School of Information Science and Technology, Tokyo, UNK, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Tokyo, UNK, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048624196","display_name":"Toshihiko Yamasaki","orcid":"https://orcid.org/0000-0002-1784-2314"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toshihiko Yamasaki","raw_affiliation_strings":["Graduate School of Information Science and Technology, Tokyo, UNK, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Tokyo, UNK, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Tokyo, UNK, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Tokyo, UNK, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100768123"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57495561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"875","last_page":"878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9922999739646912,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9914000034332275,"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/inverted-index","display_name":"Inverted index","score":0.9093538522720337},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.9021798372268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733661890029907},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6136795282363892},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5773957371711731},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5355315804481506},{"id":"https://openalex.org/keywords/pattern-search","display_name":"Pattern search","score":0.5063983201980591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.487076073884964},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4346902370452881},{"id":"https://openalex.org/keywords/search-problem","display_name":"Search problem","score":0.4329404830932617},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4229307770729065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38289719820022583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35422056913375854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23752203583717346},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.23624736070632935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20001327991485596},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06193256378173828}],"concepts":[{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.9093538522720337},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.9021798372268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733661890029907},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6136795282363892},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5773957371711731},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5355315804481506},{"id":"https://openalex.org/C82691427","wikidata":"https://www.wikidata.org/wiki/Q4291856","display_name":"Pattern search","level":2,"score":0.5063983201980591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.487076073884964},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4346902370452881},{"id":"https://openalex.org/C201789804","wikidata":"https://www.wikidata.org/wiki/Q2362762","display_name":"Search problem","level":2,"score":0.4329404830932617},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4229307770729065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38289719820022583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35422056913375854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23752203583717346},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.23624736070632935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20001327991485596},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06193256378173828}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2733373.2806353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","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":9,"referenced_works":["https://openalex.org/W118481696","https://openalex.org/W1627400044","https://openalex.org/W2124509324","https://openalex.org/W2128017662","https://openalex.org/W2132234208","https://openalex.org/W2150593711","https://openalex.org/W2162006472","https://openalex.org/W2171572695","https://openalex.org/W6660414082"],"related_works":["https://openalex.org/W2906958661","https://openalex.org/W2132792521","https://openalex.org/W2039742379","https://openalex.org/W2295679435","https://openalex.org/W2319176622","https://openalex.org/W2058987221","https://openalex.org/W2980679393","https://openalex.org/W2247359466","https://openalex.org/W3213200242","https://openalex.org/W2824406300"],"abstract_inverted_index":{"In":[0,20,55],"object":[1],"recognition":[2],"and":[3,77,97,142],"image":[4],"retrieval,":[5],"an":[6,69],"inverted":[7,23,37,44,70,121,148],"indexing":[8,24,38,149],"method":[9,87,129],"is":[10,40,46],"used":[11],"to":[12,29,48,67],"solve":[13],"the":[14,60,64,74,90,119,125,139,146],"approximate":[15,104],"nearest":[16,105],"neighbor":[17,106],"search":[18,52,75,86,107,143],"problem.":[19],"these":[21],"tasks,":[22],"provides":[25],"a":[26,33,42,50,82,109],"nonexhaustive":[27,99],"solution":[28],"large-scale":[30,43],"search.":[31,100],"However,":[32],"problem":[34,61],"of":[35,62,92],"previous":[36],"methods":[39],"that":[41,88,118],"index":[45,71],"required":[47,66],"achieve":[49],"high":[51],"recall":[53,141],"rate.":[54],"this":[56],"study,":[57],"we":[58,80],"address":[59],"reducing":[63],"time":[65],"build":[68],"without":[72],"degrading":[73],"accuracy":[76],"speed.":[78],"Thus,":[79],"propose":[81],"selective":[83,98,126],"k-means":[84,95,127],"tree":[85,96,128],"combines":[89],"power":[91],"both":[93],"hierarchical":[94,120],"Experiments":[101],"based":[102,123],"on":[103,124],"using":[108],"large":[110],"dataset":[111],"comprising":[112],"one":[113],"billion":[114],"SIFT":[115],"features":[116],"showed":[117],"file":[122],"could":[130],"be":[131],"built":[132],"six":[133],"times":[134],"faster,":[135],"while":[136],"obtaining":[137],"almost":[138],"same":[140],"speed":[144],"as":[145],"state-of-the-art":[147],"methods.":[150]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}