iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1109/TPAMI.2005.78
{"id":"https://openalex.org/W2129971280","doi":"https://doi.org/10.1109/tpami.2005.78","title":"Feature space interpretation of SVMs with indefinite kernels","display_name":"Feature space interpretation of SVMs with indefinite kernels","publication_year":2005,"publication_date":"2005-03-07","ids":{"openalex":"https://openalex.org/W2129971280","doi":"https://doi.org/10.1109/tpami.2005.78","mag":"2129971280","pmid":"https://pubmed.ncbi.nlm.nih.gov/15794155"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2005.78","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://cbio.ensmp.fr/~jvert/svn/bibli/local/Haasdonk2005Feature.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073837806","display_name":"Bernard Haasdonk","orcid":null},"institutions":[],"countries":["DE"],"is_corresponding":true,"raw_author_name":"B. Haasdonk","raw_affiliation_strings":["Dept. of Comput. Sci., Albert-Ludwigs-Univ., Germany"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Albert-Ludwigs-Univ., Germany","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5073837806"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.942,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":224,"citation_normalized_percentile":{"value":0.999896,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":"4","first_page":"482","last_page":"492"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998,"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":0.9998,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9945,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9842,"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/hyperplane","display_name":"Hyperplane","score":0.6534496},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.62171674},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.51343954}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8062136},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.6534496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6388731},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.62171674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5653484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.53290325},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.51343954},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.45660925},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42566097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42064562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36187664},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08068454},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003205","descriptor_name":"Computing Methodologies","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2005.78","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.545","pdf_url":"http://cbio.ensmp.fr/~jvert/svn/bibli/local/Haasdonk2005Feature.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15794155","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.545","pdf_url":"http://cbio.ensmp.fr/~jvert/svn/bibli/local/Haasdonk2005Feature.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1480643256","https://openalex.org/W1512227276","https://openalex.org/W1563088657","https://openalex.org/W1568612004","https://openalex.org/W1576213419","https://openalex.org/W1587670653","https://openalex.org/W1604585277","https://openalex.org/W1979662950","https://openalex.org/W2036350498","https://openalex.org/W2098770944","https://openalex.org/W2105004615","https://openalex.org/W2108482774","https://openalex.org/W2118216287","https://openalex.org/W2133324003","https://openalex.org/W2146084019","https://openalex.org/W2147281608","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2157656721","https://openalex.org/W2158078575","https://openalex.org/W2159737176","https://openalex.org/W2161920802","https://openalex.org/W2168353336","https://openalex.org/W2293192529","https://openalex.org/W3023786531","https://openalex.org/W3158705475","https://openalex.org/W4235236043","https://openalex.org/W4285719527","https://openalex.org/W91932901"],"related_works":["https://openalex.org/W4200528348","https://openalex.org/W2946042489","https://openalex.org/W2792223680","https://openalex.org/W2739765643","https://openalex.org/W2726196558","https://openalex.org/W2146785254","https://openalex.org/W2097028249","https://openalex.org/W2065087833","https://openalex.org/W1964604696","https://openalex.org/W1960809010"],"abstract_inverted_index":{"Kernel":[0],"methods":[1],"are":[2,65,108],"becoming":[3],"increasingly":[4],"popular":[5],"for":[6,22,136,144,152],"various":[7],"kinds":[8],"of":[9,50,86,97,119,155,162],"machine":[10,20],"learning":[11],"tasks,":[12],"the":[13,17,84,142,153,160],"most":[14],"famous":[15],"being":[16],"support":[18],"vector":[19],"(SVM)":[21],"classification.":[23],"The":[24,48],"SVM":[25,87],"is":[26,141],"well":[27],"understood":[28],"when":[29],"using":[30],"conditionally":[31],"positive":[32],"definite":[33],"(cpd)":[34],"kernel":[35,101],"functions.":[36,102],"However,":[37,63],"in":[38,46,55,89,124],"practice,":[39],"non-cpd":[40],"kernels":[41,54],"arise":[42],"and":[43,73,134,151],"demand":[44],"application":[45],"SVMs.":[47,138,164],"procedure":[49],"\"plugging\"":[51],"these":[52,90],"indefinite":[53,100,137,163],"SVMs":[56,98,107],"often":[57],"yields":[58],"good":[59],"empirical":[60],"classification":[61],"results.":[62],"they":[64],"hard":[66],"to":[67,70],"interpret":[68],"due":[69],"missing":[71],"geometrical":[72],"theoretical":[74,146],"understanding.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,129],"provide":[80],"a":[81,94,131],"step":[82],"toward":[83],"comprehension":[85],"classifiers":[88,111],"situations.":[91],"We":[92,103],"give":[93],"geometric":[95],"interpretation":[96,140],"with":[99],"show":[104],"that":[105],"such":[106],"optimal":[109],"hyperplane":[110],"not":[112],"by":[113,117],"margin":[114],"maximization,":[115],"but":[116],"minimization":[118],"distances":[120],"between":[121],"convex":[122],"hulls":[123],"pseudo-Euclidean":[125],"spaces.":[126],"By":[127],"this,":[128],"obtain":[130],"sound":[132],"framework":[133],"motivation":[135],"This":[139],"basis":[143],"further":[145],"analysis,":[147],"e.g.,":[148],"investigating":[149],"uniqueness,":[150],"derivation":[154],"practical":[156],"guidelines":[157],"like":[158],"characterizing":[159],"suitability":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2129971280","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":15}],"updated_date":"2024-12-12T11:22:08.369285","created_date":"2016-06-24"}