{"id":"https://openalex.org/W4405121384","doi":"https://doi.org/10.1007/978-981-96-0885-0_16","title":"Improving Image Clustering with\u00a0Artifacts Attenuation via\u00a0Inference-Time Attention Engineering","display_name":"Improving Image Clustering with\u00a0Artifacts Attenuation via\u00a0Inference-Time Attention Engineering","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4405121384","doi":"https://doi.org/10.1007/978-981-96-0885-0_16"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-96-0885-0_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-96-0885-0_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5109799728","display_name":"Kazumoto Nakamura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazumoto Nakamura","raw_affiliation_strings":["Kioxia Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kioxia Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109799729","display_name":"Y. Nozawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuji Nozawa","raw_affiliation_strings":["Kioxia Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kioxia Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112209266","display_name":"Yu-Chieh Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Chieh Lin","raw_affiliation_strings":["Kioxia Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kioxia Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110431996","display_name":"Kengo Nakata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kengo Nakata","raw_affiliation_strings":["Kioxia Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kioxia Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046608936","display_name":"Youyang Ng","orcid":"https://orcid.org/0000-0002-6420-2782"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Youyang Ng","raw_affiliation_strings":["Kioxia Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kioxia Corporation, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5046608936"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3523,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59266843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.8513952493667603},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6564952731132507},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6257166862487793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4813900291919708},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.4540894031524658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35434645414352417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3448408842086792},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0667022168636322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8513952493667603},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6564952731132507},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6257166862487793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4813900291919708},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.4540894031524658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35434645414352417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3448408842086792},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0667022168636322},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-96-0885-0_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-96-0885-0_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1981276685","https://openalex.org/W2100495367","https://openalex.org/W2117539524","https://openalex.org/W2730106296","https://openalex.org/W2779692282","https://openalex.org/W2798991696","https://openalex.org/W2883725317","https://openalex.org/W2911293880","https://openalex.org/W2953791858","https://openalex.org/W2963761396","https://openalex.org/W2986063762","https://openalex.org/W2990500698","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3110446398","https://openalex.org/W3138516171","https://openalex.org/W3145450063","https://openalex.org/W3159481202","https://openalex.org/W3171007011","https://openalex.org/W3171516518","https://openalex.org/W4214520160","https://openalex.org/W4312446817","https://openalex.org/W4313002532","https://openalex.org/W4319300170","https://openalex.org/W4402753761","https://openalex.org/W4402774219","https://openalex.org/W6600018615","https://openalex.org/W6600129504","https://openalex.org/W6600402904","https://openalex.org/W6600648412","https://openalex.org/W6602226494","https://openalex.org/W6631644673"],"related_works":["https://openalex.org/W2062605435","https://openalex.org/W2273182195","https://openalex.org/W2186374051","https://openalex.org/W2377963109","https://openalex.org/W2022279172","https://openalex.org/W2352247021","https://openalex.org/W2145835458","https://openalex.org/W2059332403","https://openalex.org/W2066034608","https://openalex.org/W1990381203"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
