{"id":"https://openalex.org/W1991660789","doi":"https://doi.org/10.1145/1363686.1363966","title":"Semi-supervised dimensionality reduction in image feature space","display_name":"Semi-supervised dimensionality reduction in image feature space","publication_year":2008,"publication_date":"2008-03-16","ids":{"openalex":"https://openalex.org/W1991660789","doi":"https://doi.org/10.1145/1363686.1363966","mag":"1991660789"},"language":"en","primary_location":{"id":"doi:10.1145/1363686.1363966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1363966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/9697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101511712","display_name":"Hao Cheng","orcid":"https://orcid.org/0000-0003-4823-0908"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Cheng","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of Central, Florida, Orlando, FL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central, Florida, Orlando, FL#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110083332","display_name":"Kien A. Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kien A Hua","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of Central, Florida, Orlando, FL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central, Florida, Orlando, FL#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111772666","display_name":"Khanh Vu","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khanh Vu","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of Central, Florida, Orlando, FL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central, Florida, Orlando, FL#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020963883","display_name":"Danzhou Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danzhou Liu","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of Central, Florida, Orlando, FL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central, Florida, Orlando, FL#TAB#","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1207","last_page":"1211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9916999936103821,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.9167430996894836},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7292370200157166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6313701868057251},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.619741678237915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6183536052703857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6098169088363647},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6037116646766663},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5724483132362366},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5696529746055603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5600743293762207},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5550237894058228},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.552842915058136},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.5368185043334961},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5229688286781311},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4953233301639557},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.488815039396286},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4648427367210388},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4546546936035156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2956801652908325}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.9167430996894836},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7292370200157166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6313701868057251},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.619741678237915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6183536052703857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6098169088363647},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6037116646766663},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5724483132362366},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5696529746055603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5600743293762207},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5550237894058228},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.552842915058136},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5368185043334961},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5229688286781311},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4953233301639557},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.488815039396286},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4648427367210388},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4546546936035156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2956801652908325},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1363686.1363966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1363966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-10696","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/9697","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-10696","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/9697","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W59975075","https://openalex.org/W1536481811","https://openalex.org/W1564277727","https://openalex.org/W1570952358","https://openalex.org/W2022286021","https://openalex.org/W2069350352","https://openalex.org/W2099242680","https://openalex.org/W2101498401","https://openalex.org/W2132373873","https://openalex.org/W2136504847","https://openalex.org/W2150627493","https://openalex.org/W2152010828","https://openalex.org/W2154872931","https://openalex.org/W2167267197","https://openalex.org/W2999575747","https://openalex.org/W6602379000"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W2931531042","https://openalex.org/W1489327846","https://openalex.org/W4287375746","https://openalex.org/W1606474234"],"abstract_inverted_index":{"Image":[0],"feature":[1],"space":[2,17,61],"is":[3],"typically":[4],"complex":[5],"due":[6],"to":[7,51,72],"the":[8,24,30,48,59,64,86],"high":[9],"dimensionality":[10,27],"of":[11,15,26,88],"data.":[12],"Effective":[13],"handling":[14],"this":[16,34],"has":[18],"prompted":[19],"many":[20],"research":[21],"efforts":[22],"in":[23,29,47],"study":[25],"reduction":[28,40],"image":[31],"domain.":[32],"In":[33,58],"paper,":[35],"we":[36],"propose":[37],"a":[38],"semi-supervised":[39],"method":[41],"that":[42],"leverages":[43],"relevance":[44],"feedback":[45],"information":[46],"retrieval":[49],"process":[50],"learn":[52],"suitable":[53],"linear":[54],"and":[55],"orthogonal":[56],"embeddings.":[57],"reduced":[60],"constructed":[62],"by":[63],"proposed":[65],"embedding,":[66],"relevant":[67],"images":[68],"are":[69,78],"kept":[70],"close":[71],"each":[73],"other,":[74],"while":[75],"irrelevant":[76],"ones":[77],"dispersed":[79],"far":[80],"apart.":[81],"The":[82],"experimental":[83],"results":[84],"demonstrate":[85],"superiority":[87],"our":[89],"method.":[90]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
