{"id":"https://openalex.org/W2000072795","doi":"https://doi.org/10.1109/iros.2010.5650093","title":"Learning to hash logistic regression for fast 3D scan point classification","display_name":"Learning to hash logistic regression for fast 3D scan point classification","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2000072795","doi":"https://doi.org/10.1109/iros.2010.5650093","mag":"2000072795"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2010.5650093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5068364473","display_name":"Jens Behley","orcid":"https://orcid.org/0000-0001-6483-0319"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jens Behley","raw_affiliation_strings":["Department of Computer Science III, University of Bonn, 53117, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science III, University of Bonn, 53117, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037636074","display_name":"Kristian Kersting","orcid":"https://orcid.org/0000-0002-2873-9152"},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristian Kersting","raw_affiliation_strings":["Knowledge Discovery Department, Fraunhofer IAIS, Schloss Birlinghoven, 53754 Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Knowledge Discovery Department, Fraunhofer IAIS, Schloss Birlinghoven, 53754 Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089014753","display_name":"Dirk Schulz","orcid":"https://orcid.org/0000-0002-6240-9181"},"institutions":[{"id":"https://openalex.org/I4210166245","display_name":"Fraunhofer Institute for Communication, Information Processing and Ergonomics","ror":"https://ror.org/05nn0gw40","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210166245","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Schulz","raw_affiliation_strings":["Unmanned Systems Department, Fraunhofer FKIE, 53343 Bonn-Wachtberg, Germany"],"affiliations":[{"raw_affiliation_string":"Unmanned Systems Department, Fraunhofer FKIE, 53343 Bonn-Wachtberg, Germany","institution_ids":["https://openalex.org/I4210166245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071509474","display_name":"Volker Steinhage","orcid":"https://orcid.org/0000-0002-3172-3645"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Steinhage","raw_affiliation_strings":["Department of Computer Science III, University of Bonn, 53117, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science III, University of Bonn, 53117, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109046710","display_name":"Armin B. Cremers","orcid":"https://orcid.org/0000-0002-7693-4649"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Armin B. Cremers","raw_affiliation_strings":["Department of Computer Science III, University of Bonn, 53117, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science III, University of Bonn, 53117, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068364473"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":null,"apc_paid":null,"fwci":2.586,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90099617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5960","last_page":"5965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.7341905832290649},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6680527925491333},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6233817934989929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6179999709129333},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5449544191360474},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5314834117889404},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.4595462679862976},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4456782042980194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44070103764533997},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4197287857532501},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.38425758481025696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28540775179862976},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15787425637245178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15655693411827087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15443727374076843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341905832290649},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6680527925491333},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6233817934989929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179999709129333},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5449544191360474},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5314834117889404},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.4595462679862976},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4456782042980194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44070103764533997},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4197287857532501},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.38425758481025696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28540775179862976},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15787425637245178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15655693411827087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15443727374076843},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iros.2010.5650093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.169.7112","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.7112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-kd.iai.uni-bonn.de/pubattachments/462/behley10iros.pdf","raw_type":"text"},{"id":"pmh:oai:fraunhofer.de:N-188601","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-188601.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer FKIE","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/370081","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/370081","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W21187803","https://openalex.org/W1516657904","https://openalex.org/W1525032837","https://openalex.org/W1689445748","https://openalex.org/W2053939793","https://openalex.org/W2083690166","https://openalex.org/W2095861085","https://openalex.org/W2099606917","https://openalex.org/W2103018059","https://openalex.org/W2103023778","https://openalex.org/W2106122512","https://openalex.org/W2115703234","https://openalex.org/W2137619651","https://openalex.org/W2145607950","https://openalex.org/W2147880316","https://openalex.org/W2150408100","https://openalex.org/W2154956324","https://openalex.org/W2159213092","https://openalex.org/W2293597654","https://openalex.org/W2427881153","https://openalex.org/W2544683879","https://openalex.org/W2913932916","https://openalex.org/W4210969899","https://openalex.org/W6631012126","https://openalex.org/W6631562094","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2019315587","https://openalex.org/W2134880816","https://openalex.org/W2105734423","https://openalex.org/W2111298487","https://openalex.org/W2953192649","https://openalex.org/W1562412850","https://openalex.org/W2919919296","https://openalex.org/W2109703172","https://openalex.org/W2088296667","https://openalex.org/W2963758661"],"abstract_inverted_index":{"Segmenting":[0],"range":[1],"data":[2],"into":[3],"semantic":[4],"categories":[5],"has":[6],"become":[7],"a":[8,28,36,69,110,136,139,163,176],"more":[9,11],"and":[10,44,56,102,214,223],"active":[12],"field":[13],"of":[14,30,38,40,60,68,93,97,167],"research":[15],"in":[16,53,100,135],"robotics.":[17],"In":[18,114,156],"this":[19,25,87,115],"paper,":[20,116],"we":[21,47,117,174],"advocate":[22],"to":[23,64,109,119],"view":[24],"task":[26],"as":[27,78,220],"problem":[29],"fast,":[31],"large-scale":[32],"retrieval.":[33],"Intuitively,":[34],"given":[35],"dataset":[37],"millions":[39,96],"labeled":[41],"scan":[42,98,107,112],"points":[43,52,99,108,183],"their":[45],"neighborhoods,":[46],"simply":[48],"search":[49],"for":[50,170],"similar":[51,106,148,152,158],"the":[54,58,61,66,168,171,185,199],"datasets":[55],"use":[57],"labels":[59,67],"retrieved":[62],"ones":[63],"predict":[65],"novel":[70],"point":[71],"using":[72],"some":[73],"local":[74],"prediction":[75,212],"model":[76,179],"such":[77,219],"majority":[79],"vote":[80],"or":[81],"logistic":[82,177,205,221],"regression.":[83],"However,":[84],"actually":[85],"carrying":[86],"out":[88],"requires":[89],"highly":[90],"efficient":[91],"ways":[92],"(1)":[94],"storing":[95],"memory":[101],"(2)":[103],"quickly":[104],"finding":[105],"target":[111],"point.":[113],"propose":[118],"address":[120],"both":[121],"issues":[122],"by":[123,138],"employing":[124],"Weiss":[125],"et":[126],"al.'s":[127],"recent":[128],"spectral":[129],"hashing.":[130],"It":[131],"represents":[132],"each":[133],"item":[134],"database":[137],"compact":[140],"binary":[141,153,187],"code":[142,154,169,188],"that":[143,147,198],"is":[144],"constructed":[145],"so":[146],"items":[149],"will":[150],"have":[151,160],"words.":[155],"turn,":[157],"neighbors":[159],"codes":[161],"within":[162],"small":[164],"Hamming":[165],"distance":[166],"query.":[172],"Then,":[173],"learn":[175],"regression":[178,222],"locally":[180],"over":[181],"all":[182],"with":[184],"same":[186],"word.":[189],"Our":[190],"experiments":[191],"on":[192],"real":[193],"world":[194],"3D":[195],"scans":[196],"show":[197],"resulting":[200],"approach,":[201],"called":[202],"spectrally":[203],"hashed":[204],"regression,":[206],"can":[207],"be":[208],"ultra":[209],"fast":[210],"at":[211],"time":[213],"outperforms":[215],"state-of-the":[216],"art":[217],"approaches":[218],"nearest":[224],"neighbor.":[225]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
