{"id":"https://openalex.org/W1543992477","doi":"https://doi.org/10.1109/icpr.2002.1048272","title":"Fast projection plane classifier","display_name":"Fast projection plane classifier","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1543992477","doi":"https://doi.org/10.1109/icpr.2002.1048272","mag":"1543992477"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},"type":"article","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/A5062847465","display_name":"Dirk Balthasar","orcid":null},"institutions":[{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"D. Balthasar","raw_affiliation_strings":["Institut f\u00fcr Computervisualistik, Universit\u00e4t Koblenz-Landau, Koblenz, Germany","Inst. fur Computervisualistik, Koblenz-Landau Univ., Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Computervisualistik, Universit\u00e4t Koblenz-Landau, Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133"]},{"raw_affiliation_string":"Inst. fur Computervisualistik, Koblenz-Landau Univ., Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078945145","display_name":"Lutz Priese","orcid":null},"institutions":[{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"L. Priese","raw_affiliation_strings":["Institut f\u00fcr Computervisualistik, Universit\u00e4t Koblenz-Landau, Koblenz, Germany","Inst. fur Computervisualistik, Koblenz-Landau Univ., Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Computervisualistik, Universit\u00e4t Koblenz-Landau, Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133"]},{"raw_affiliation_string":"Inst. fur Computervisualistik, Koblenz-Landau Univ., Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062847465"],"corresponding_institution_ids":["https://openalex.org/I2802076133"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0672043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"200","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9836000204086304,"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/classifier","display_name":"Classifier (UML)","score":0.687721312046051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6629053950309753},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6547080278396606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6494637727737427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6250191330909729},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5988733768463135},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5564673542976379},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46744784712791443},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4438530206680298},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4352377653121948},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.4290466904640198},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.428078830242157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3305581510066986},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24312928318977356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2298375964164734}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.687721312046051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6629053950309753},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6547080278396606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494637727737427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6250191330909729},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5988733768463135},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5564673542976379},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46744784712791443},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4438530206680298},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4352377653121948},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.4290466904640198},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.428078830242157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3305581510066986},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24312928318977356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2298375964164734},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1048272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1506281249","https://openalex.org/W2132549764"],"related_works":["https://openalex.org/W2064168458","https://openalex.org/W4287750422","https://openalex.org/W1980222719","https://openalex.org/W1499137908","https://openalex.org/W2592293938","https://openalex.org/W2054791767","https://openalex.org/W2033523051","https://openalex.org/W3197970974","https://openalex.org/W4385436225","https://openalex.org/W2794358477"],"abstract_inverted_index":{"A":[0],"new":[1],"approach":[2],"for":[3,27],"classification":[4,25,38,58,67],"is":[5,21,31,42],"presented,":[6],"the":[7,46,57,78,81,102,113,122],"\"Fast":[8],"Projection":[9],"Plane":[10],"Classifier\",":[11],"abbreviated":[12],"here":[13],"to":[14,63],"FPPC.":[15],"The":[16,52,86],"main":[17],"idea":[18],"of":[19,45,77,80,101,104,121],"FPPC":[20],"very":[22,65],"simple:":[23],"a":[24,43,50,64,75,116],"problem":[26],"n-dimensional":[28],"feature":[29,47,84],"vectors":[30],"transformed":[32],"into":[33,49,54],"several":[34],"two":[35],"dimensional":[36,96],"(2D)":[37],"problems.":[39],"Each":[40],"transformation":[41],"projection":[44,53],"space":[48],"plane.":[51],"2D-planes":[55],"simplifies":[56],"task":[59],"massively":[60],"and":[61,108,118],"leads":[62],"fast":[66],"algorithm":[68,87,114],"which":[69],"uses":[70,115],"binary":[71],"lookup":[72],"tables":[73],"as":[74],"representation":[76,120],"distribution":[79],"previously":[82],"trained":[83],"vectors.":[85],"has":[88],"some":[89],"beneficial":[90],"properties:":[91],"it":[92],"can":[93],"handle":[94],"high":[95],"problems":[97],"without":[98],"an":[99],"explosion":[100],"number":[103],"required":[105],"training":[106,123],"samples,":[107],"with":[109],"all":[110],"possible":[111],"2D-projections":[112],"reliable":[117],"precise":[119],"samples.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}