{"id":"https://openalex.org/W7098874162","doi":null,"title":"Computation and Neural Systems","display_name":"Computation and Neural Systems","publication_year":2013,"publication_date":"2013-08-21","ids":{"openalex":"https://openalex.org/W7098874162"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.3505","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bologna.vision.caltech.edu/publications/holubWellingPerona-FisherICCV05.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5070916253","display_name":"Alex D. Holub","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex D. Holub","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087368991","display_name":"Max Welling","orcid":"https://orcid.org/0000-0003-1484-2121","observed_orcids":["https://orcid.org/0000-0003-1484-2121"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Max Welling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026825380","display_name":"Pietro Perona","orcid":"https://orcid.org/0000-0002-7583-5809","observed_orcids":["https://orcid.org/0000-0002-7583-5809"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pietro Perona","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59973217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.6679999828338623,"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":0.6679999828338623,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.28690001368522644,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0215000007301569,"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/fisher-kernel","display_name":"Fisher kernel","score":0.7739999890327454},{"id":"https://openalex.org/keywords/object-category-classification","display_name":"object category classification","score":0.7639999985694885},{"id":"https://openalex.org/keywords/generative-models","display_name":"generative models","score":0.7960000038146973},{"id":"https://openalex.org/keywords/discriminative-models","display_name":"discriminative models","score":0.734000027179718},{"id":"https://openalex.org/keywords/feature-combination","display_name":"feature combination","score":0.6600000262260437},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.8169999718666077},{"id":"https://openalex.org/keywords/machine-vision","display_name":"machine vision","score":0.5009999871253967}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8119000196456909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7488999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850000023841858},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.59170001745224},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.489300012588501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2896000146865845},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.3505","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bologna.vision.caltech.edu/publications/holubWellingPerona-FisherICCV05.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7097050058","https://openalex.org/W2160360539","https://openalex.org/W7099070867","https://openalex.org/W1979288205","https://openalex.org/W7100973635","https://openalex.org/W2105231718","https://openalex.org/W7098682440","https://openalex.org/W593410222","https://openalex.org/W6940191659","https://openalex.org/W7096952865"],"abstract_inverted_index":{"Learning":[0],"models":[1,113],"for":[2,55],"detecting":[3],"and":[4,20,47,61,112,136],"classifying":[5],"object":[6],"categories":[7],"is":[8,36],"a":[9,68,93,115,122],"challenging":[10],"problem":[11],"in":[12,23,52,64,144],"machine":[13],"vision.":[14],"While":[15],"discriminative":[16,94],"approaches":[17,28],"to":[18,39,106],"learning":[19,63],"classification":[21,90],"have,":[22],"principle,":[24],"superior":[25],"performance,":[26],"generative":[27,85,134],"provide":[29],"many":[30],"useful":[31],"features,":[32],"one":[33],"of":[34,58,80,84,110,124],"which":[35,77],"the":[37,56,81,89,132,140,145],"ability":[38],"naturally":[40],"establish":[41],"explicit":[42],"correspondence":[43],"between":[44],"model":[45],"components":[46],"scene":[48],"features":[49,111],"\u2013":[50],"this,":[51],"turn,":[53],"allows":[54],"handling":[57],"missing":[59],"data":[60],"unsupervised":[62],"clutter.":[65],"We":[66],"explore":[67],"hybrid":[69],"generative/discriminative":[70],"approach":[71,135],"using":[72],"\u2018Fisher":[73],"kernels":[74],"\u2019":[75],"[1]":[76],"retains":[78],"most":[79],"desirable":[82],"properties":[83],"methods,":[86],"while":[87],"increasing":[88],"performance":[91,129],"through":[92],"setting.":[95],"Furthermore,":[96],"we":[97],"demonstrate":[98],"how":[99],"this":[100],"kernel":[101],"framework":[102],"can":[103],"be":[104],"used":[105],"combine":[107],"different":[108],"types":[109],"into":[114],"single":[116],"classifier.":[117],"Our":[118],"experiments,":[119],"conducted":[120],"on":[121],"number":[123],"popular":[125],"benchmarks,":[126],"show":[127],"strong":[128],"improvements":[130],"over":[131],"corresponding":[133],"are":[137],"competitive":[138],"with":[139],"best":[141],"results":[142],"reported":[143],"literature.":[146],"1":[147]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-27T00:00:00"}