{"id":"https://openalex.org/W2729058639","doi":"https://doi.org/10.1109/sera.2017.7965708","title":"LogSumExp for unlabeled data processing","display_name":"LogSumExp for unlabeled data processing","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2729058639","doi":"https://doi.org/10.1109/sera.2017.7965708","mag":"2729058639"},"language":"en","primary_location":{"id":"doi:10.1109/sera.2017.7965708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2017.7965708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-article"},"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/A5057533186","display_name":"Taocheng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taocheng Hu","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034398235","display_name":"Jinhui Yu","orcid":"https://orcid.org/0000-0002-9946-4854"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Yu","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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":0.9958000183105469,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9908000230789185,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9847000241279602,"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/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.741676926612854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285516262054443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6467003226280212},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.6078147888183594},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6043840646743774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5874881148338318},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.555264949798584},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.543371856212616},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5090462565422058},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4954019784927368},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4862348139286041},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4778063893318176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4237910211086273},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.180108904838562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13758382201194763},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.061174482107162476}],"concepts":[{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.741676926612854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285516262054443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6467003226280212},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.6078147888183594},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6043840646743774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5874881148338318},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.555264949798584},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.543371856212616},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5090462565422058},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4954019784927368},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4862348139286041},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4778063893318176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4237910211086273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.180108904838562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13758382201194763},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.061174482107162476},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera.2017.7965708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2017.7965708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA)","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":15,"referenced_works":["https://openalex.org/W1483660231","https://openalex.org/W2117154949","https://openalex.org/W2118120419","https://openalex.org/W2128028519","https://openalex.org/W2133232758","https://openalex.org/W2139653464","https://openalex.org/W2147021384","https://openalex.org/W2160569988","https://openalex.org/W2166338096","https://openalex.org/W2531342232","https://openalex.org/W4210997624","https://openalex.org/W4245857805","https://openalex.org/W6677328822","https://openalex.org/W6680825201","https://openalex.org/W6683303121"],"related_works":["https://openalex.org/W3148060700","https://openalex.org/W4312414840","https://openalex.org/W34092691","https://openalex.org/W2096363773","https://openalex.org/W2794908468","https://openalex.org/W2531570999","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W2042184006"],"abstract_inverted_index":{"There":[0],"are":[1],"two":[2],"types":[3],"of":[4,49,68],"data":[5,22,41,51,55,70,97],"in":[6,28,57],"semi-supervised":[7,58,80],"learning:":[8],"feature":[9,16],"vector":[10,17],"with":[11],"the":[12,36,61,65,79,86,89,103],"corresponding":[13],"label":[14],"and":[15,53],"without":[18],"label,":[19],"where":[20],"labeled":[21,50],"processing":[23,52,56,71,98],"has":[24],"been":[25],"well":[26],"studied":[27],"supervised":[29],"learning.":[30,59],"In":[31],"this":[32],"paper,":[33],"we":[34,82],"derive":[35],"LogSumExp":[37,62],"function":[38,63],"for":[39],"unlabeled":[40,54,69,96],"processing.":[42],"This":[43],"derivation":[44],"establishes":[45],"a":[46],"unified":[47],"view":[48],"Moreover,":[60],"is":[64],"kernel":[66],"component":[67],"framework,":[72],"which":[73],"should":[74],"not":[75],"be":[76],"restricted":[77],"to":[78,88],"learning,":[81],"can":[83],"easily":[84],"extend":[85],"framework":[87,99],"unsupervised":[90],"learning":[91],"situation.":[92],"Interestingly,":[93],"our":[94],"proposed":[95],"could":[100],"also":[101],"cover":[102],"k-means":[104],"method.":[105]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}