{"id":"https://openalex.org/W2084952630","doi":"https://doi.org/10.1109/coginf.2010.5599782","title":"Localized pairwise constraint proximal support vector machine","display_name":"Localized pairwise constraint proximal support vector machine","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2084952630","doi":"https://doi.org/10.1109/coginf.2010.5599782","mag":"2084952630"},"language":"en","primary_location":{"id":"doi:10.1109/coginf.2010.5599782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2010.5599782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","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/A5060678462","display_name":"Jinguo Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]},{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinguo Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Hunan Institute of Technology, Hunan, China","Department of Computer Science and Technology, Hunan Institue of Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Hunan Institute of Technology, Hunan, China","institution_ids":["https://openalex.org/I96478251"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Hunan Institue of Technology, Hunan, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337209","display_name":"Min Chen","orcid":"https://orcid.org/0000-0002-0960-4447"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]},{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Hunan Institute of Technology, Hunan, China","Department of Computer Science and Technology, Hunan Institue of Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Hunan Institute of Technology, Hunan, China","institution_ids":["https://openalex.org/I96478251"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Hunan Institue of Technology, Hunan, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423029","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-5703-7969"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Department of Computer Science, Nanjing Forestry University, Nanjing, China","Dept. of Comput. Sci., Nanjing Forestry Univ., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Nanjing Forestry Univ., Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100516673","display_name":"Qingyun Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]},{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyun Luo","raw_affiliation_strings":["Department of Computer Science and Technology, Hunan Institute of Technology, Hunan, China","Department of Computer Science and Technology, Hunan Institue of Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Hunan Institute of Technology, Hunan, China","institution_ids":["https://openalex.org/I96478251"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Hunan Institue of Technology, Hunan, China","institution_ids":["https://openalex.org/I100286613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20855007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"908","last_page":"913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7957546710968018},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7163957357406616},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.646644115447998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254226565361023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6205726861953735},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.618355393409729},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5927987098693848},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.592054009437561},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5714604258537292},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5371525883674622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4625638425350189},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4544523060321808},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.42973271012306213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38766658306121826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30951204895973206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27816450595855713}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7957546710968018},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7163957357406616},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.646644115447998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254226565361023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205726861953735},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.618355393409729},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5927987098693848},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.592054009437561},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5714604258537292},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5371525883674622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4625638425350189},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4544523060321808},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.42973271012306213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38766658306121826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30951204895973206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27816450595855713},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginf.2010.5599782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2010.5599782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","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":26,"referenced_works":["https://openalex.org/W1564277727","https://openalex.org/W1601740268","https://openalex.org/W1676142428","https://openalex.org/W2051856481","https://openalex.org/W2069231281","https://openalex.org/W2084812512","https://openalex.org/W2117154949","https://openalex.org/W2119821739","https://openalex.org/W2121842036","https://openalex.org/W2150796457","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2163999590","https://openalex.org/W2277411499","https://openalex.org/W2349568975","https://openalex.org/W3119651796","https://openalex.org/W3141515637","https://openalex.org/W4239510810","https://openalex.org/W4285719527","https://openalex.org/W6637371644","https://openalex.org/W6671611538","https://openalex.org/W6677328822","https://openalex.org/W6682644385","https://openalex.org/W6682755970","https://openalex.org/W7034449035","https://openalex.org/W7039384501"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W1667647204","https://openalex.org/W2019467317","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W1585519779","https://openalex.org/W1965515989","https://openalex.org/W2018477250","https://openalex.org/W4389381704","https://openalex.org/W1964604696"],"abstract_inverted_index":{"Proximal":[0,56],"support":[1],"vector":[2,72],"machine":[3],"(PSVM)":[4],"adopts":[5],"the":[6,13,19,31,35,45,77,81,87,92,97,102,105,109,125,131,138,157],"class":[7],"labels":[8],"as":[9,18,48],"priori":[10],"and":[11,22,84,129,134,160,165],"performs":[12],"similar":[14,93],"level":[15],"of":[16,34,80,137,171],"accuracy":[17],"regular":[20],"SVM":[21,82],"is":[23,67],"significantly":[24],"faster.":[25],"However,":[26],"PSVM":[27,172],"dose":[28],"not":[29],"take":[30],"local":[32],"structure":[33],"data":[36,94],"points":[37],"into":[38],"account.":[39],"In":[40],"this":[41],"paper,":[42],"by":[43,123],"introducing":[44],"pairwise":[46],"constraints":[47],"priori,":[49],"we":[50],"propose":[51],"a":[52,70],"Localized":[53],"Pairwise":[54],"Constraint":[55],"Support":[57],"Vector":[58],"Machine":[59],"(LPCPSVM)":[60],"for":[61,141],"classification":[62,142],"learning.":[63],"The":[64],"central":[65],"idea":[66],"to":[68,120,169],"find":[69],"projection":[71],"such":[73],"that":[74,115,152,170],"can":[75,117,155],"assure":[76],"maximum":[78],"margin":[79],"hyperplane,":[83],"considers":[85],"improving":[86],"tightness":[88],"among":[89],"distances":[90,103],"between":[91,104],"pairs":[95],"under":[96,108],"Must-link":[98],"constraint,":[99],"while":[100],"expanding":[101],"dissimilar":[106],"ones":[107],"Cannot-link":[110],"constraint.":[111],"We":[112],"also":[113],"show":[114,151],"LPCPSVM":[116],"be":[118],"extended":[119],"non-linear":[121],"KLPCPSVM":[122],"using":[124],"standard":[126],"kernel":[127],"trick":[128],"demonstrate":[130],"practical":[132],"usefulness":[133],"good":[135,158],"performance":[136],"proposed":[139],"algorithms":[140],"through":[143],"extensive":[144],"simulations":[145],"with":[146],"benchmark":[147],"dataseis.":[148],"Experimental":[149],"results":[150],"our":[153],"method":[154],"select":[156],"features":[159],"has":[161],"comparable":[162],"test":[163],"correctness":[164],"faster":[166],"computational":[167],"time":[168],"classifiers.":[173]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}