{"id":"https://openalex.org/W2168133252","doi":"https://doi.org/10.1109/cvpr.2008.4587403","title":"Integrated feature selection and higher-order spatial feature extraction for object categorization","display_name":"Integrated feature selection and higher-order spatial feature extraction for object categorization","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2168133252","doi":"https://doi.org/10.1109/cvpr.2008.4587403","mag":"2168133252"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5100739507","display_name":"David Liu","orcid":"https://orcid.org/0000-0001-6116-658X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Liu","raw_affiliation_strings":["Department of ECE, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081114810","display_name":"Gang Hua","orcid":"https://orcid.org/0000-0001-9522-6157"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Hua","raw_affiliation_strings":["Department of ECE, Microsoft Live Laboratories Research, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Microsoft Live Laboratories Research, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042310818","display_name":"Paul Viola","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Viola","raw_affiliation_strings":["Department of ECE, Microsoft Live Laboratories Research, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Microsoft Live Laboratories Research, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000454484","display_name":"Tsuhan Chen","orcid":"https://orcid.org/0000-0003-3951-7931"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsuhan Chen","raw_affiliation_strings":["Department of ECE, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100739507"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":14.8977,"has_fulltext":false,"cited_by_count":144,"citation_normalized_percentile":{"value":0.99234218,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7468821406364441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226415276527405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7037035822868347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6825780868530273},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6563199758529663},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6478140950202942},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6034905910491943},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6011618971824646},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4762991666793823},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4686664342880249},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4430955946445465},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43371301889419556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34449148178100586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17105913162231445}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7468821406364441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226415276527405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7037035822868347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6825780868530273},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6563199758529663},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6478140950202942},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6034905910491943},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6011618971824646},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4762991666793823},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4686664342880249},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4430955946445465},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43371301889419556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34449148178100586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17105913162231445},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2008.4587403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/146234","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/146234","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.319.2362","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.319.2362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.eecs.northwestern.edu/~ganghua/publication/CVPR08.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.333.6463","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.6463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/063.pdf","raw_type":"text"}],"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/W1606096236","https://openalex.org/W1625255723","https://openalex.org/W1968969471","https://openalex.org/W2032533296","https://openalex.org/W2044849712","https://openalex.org/W2057175746","https://openalex.org/W2099930951","https://openalex.org/W2112020727","https://openalex.org/W2119479037","https://openalex.org/W2121227244","https://openalex.org/W2149077040","https://openalex.org/W2149454242","https://openalex.org/W2149954907","https://openalex.org/W2151103935","https://openalex.org/W2154422044","https://openalex.org/W2162915993","https://openalex.org/W2164598857","https://openalex.org/W2171896402","https://openalex.org/W2997674406","https://openalex.org/W3144510026","https://openalex.org/W4242246215","https://openalex.org/W4285719527","https://openalex.org/W6636494156","https://openalex.org/W6678277124","https://openalex.org/W6682496738","https://openalex.org/W6685292306"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W2145188897","https://openalex.org/W2573606541","https://openalex.org/W2912559722"],"abstract_inverted_index":{"In":[0],"computer":[1],"vision,":[2],"the":[3,21,92],"bag-of-visual":[4],"words":[5,26],"image":[6],"representation":[7],"has":[8,17],"been":[9],"shown":[10,18],"to":[11,43],"yield":[12],"good":[13],"results.":[14],"Recent":[15],"work":[16,31],"that":[19,50,91],"modeling":[20],"spatial":[22,34,39,59],"relationship":[23],"between":[24],"visual":[25],"further":[27],"improves":[28],"performance.":[29],"Previous":[30],"extracts":[32],"higher-order":[33],"features":[35,40,60],"exhaustively.":[36],"However,":[37],"these":[38],"are":[41,61],"expensive":[42],"compute.":[44],"We":[45],"propose":[46],"a":[47],"novel":[48],"method":[49,75,93],"simultaneously":[51],"performs":[52],"feature":[53,56,82],"selection":[54,83],"and":[55],"extraction.":[57],"Higher-order":[58],"progressively":[62],"extracted":[63],"based":[64,78],"on":[65,79],"selected":[66],"lower":[67],"order":[68],"ones,":[69],"thereby":[70],"avoiding":[71],"exhaustive":[72],"computation.":[73],"The":[74],"can":[76],"be":[77],"any":[80],"additive":[81],"algorithm":[84],"such":[85],"as":[86],"boosting.":[87],"Experimental":[88],"results":[89],"show":[90],"is":[94],"computationally":[95],"much":[96],"more":[97],"efficient":[98],"than":[99],"previous":[100],"approaches,":[101],"without":[102],"sacrificing":[103],"accuracy.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":23}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}