{"id":"https://openalex.org/W2116742884","doi":"https://doi.org/10.1109/iccv.2011.6126321","title":"Informative feature selection for object recognition via Sparse PCA","display_name":"Informative feature selection for object recognition via Sparse PCA","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2116742884","doi":"https://doi.org/10.1109/iccv.2011.6126321","mag":"2116742884"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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/A5036442507","display_name":"Nikhil Naikal","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nikhil Naikal","raw_affiliation_strings":["Department of EECS, University of California, Berkeley, USA","[Dept. of EECS, University of California, Berkeley, USA]"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"[Dept. of EECS, University of California, Berkeley, USA]","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107790029","display_name":"Allen Y. Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Y. Yang","raw_affiliation_strings":["Department of EECS, University of California, Berkeley, USA","[Dept. of EECS, University of California, Berkeley, USA]"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"[Dept. of EECS, University of California, Berkeley, USA]","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103101043","display_name":"S. Shankar Sastry","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Shankar Sastry","raw_affiliation_strings":["Department of EECS, University of California, Berkeley, USA","[Dept. of EECS, University of California, Berkeley, USA]"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"[Dept. of EECS, University of California, Berkeley, USA]","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036442507"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":4.9702,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.96171292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"818","last_page":"825"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8059312701225281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7254906296730042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6532206535339355},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5825047492980957},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5167661905288696},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.48842042684555054},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4756593108177185},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.45068565011024475},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4215657711029053},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.41935208439826965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4158567190170288},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2709190845489502}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8059312701225281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7254906296730042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6532206535339355},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5825047492980957},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5167661905288696},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.48842042684555054},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4756593108177185},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.45068565011024475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4215657711029053},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.41935208439826965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4158567190170288},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2709190845489502}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2011.6126321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:berkeley.edu:28722-bk00080978r","is_oa":false,"landing_page_url":"http://techreports.lib.berkeley.edu/accessPages/EECS-2011-27.html","pdf_url":null,"source":{"id":"https://openalex.org/S7407050879","display_name":"UC Berkeley","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":"","raw_type":"technical reports"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.220.9902","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.9902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.berkeley.edu/%7Eyang/paper/NaikalN_ICCV2011.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1537528663","https://openalex.org/W1543911290","https://openalex.org/W1590890880","https://openalex.org/W1599867596","https://openalex.org/W1677409904","https://openalex.org/W1736339626","https://openalex.org/W1975900269","https://openalex.org/W1976591483","https://openalex.org/W1983008863","https://openalex.org/W1985769718","https://openalex.org/W1986482242","https://openalex.org/W1998888609","https://openalex.org/W2024047694","https://openalex.org/W2063564733","https://openalex.org/W2091352038","https://openalex.org/W2096361585","https://openalex.org/W2106521131","https://openalex.org/W2107034620","https://openalex.org/W2112020727","https://openalex.org/W2113600901","https://openalex.org/W2118040592","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2128017662","https://openalex.org/W2129201358","https://openalex.org/W2131225894","https://openalex.org/W2131846894","https://openalex.org/W2148980251","https://openalex.org/W2162915993","https://openalex.org/W2487225473","https://openalex.org/W2615253071","https://openalex.org/W2798766386","https://openalex.org/W2936995161","https://openalex.org/W4243252506","https://openalex.org/W6632111687","https://openalex.org/W6682133450","https://openalex.org/W6750230808","https://openalex.org/W6761030284"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W2739923608","https://openalex.org/W2156402652","https://openalex.org/W195785743"],"abstract_inverted_index":{"Bag-of-words":[0],"(BoW)":[1],"methods":[2,10,169],"are":[3,79,95],"a":[4,106,115,127,139,176,183,207,210],"popular":[5],"class":[6],"of":[7,35,46,150,198],"object":[8,27,112,130,152],"recognition":[9,31,162],"that":[11,125,157],"use":[12],"image":[13,55],"features":[14,48,64,94,113,133],"(e.g.,":[15],"SIFT)":[16],"to":[17,25,60,81,109,165,179],"form":[18],"visual":[19,141],"dictionaries":[20],"and":[21,170],"subsequent":[22],"histogram":[23],"vectors":[24,205],"represent":[26],"images":[28],"in":[29],"the":[30,36,44,51,86,93,148,158,166,188,196,199],"process.":[32],"The":[33,192],"accuracy":[34,163],"BoW":[37,168],"classifiers,":[38],"however,":[39],"is":[40,89],"often":[41],"limited":[42],"by":[43,143],"presence":[45],"uninformative":[47,63],"extracted":[49,96],"from":[50,97,138],"background":[52],"or":[53,91],"irrelevant":[54],"segments.":[56],"Most":[57],"existing":[58],"solutions":[59,78],"prune":[61],"out":[62],"rely":[65],"on":[66,147],"enforcing":[67],"pairwise":[68],"epipolar":[69],"geometry":[70],"via":[71],"an":[72],"expensive":[73],"structure-from-motion":[74],"(SfM)":[75],"procedure.":[76],"Such":[77],"known":[80],"break":[82],"down":[83],"easily":[84],"when":[85,92],"camera":[87],"transformation":[88],"large":[90],"low-resolution,":[98],"low-quality":[99],"images.":[100],"In":[101],"this":[102],"paper,":[103],"we":[104,123,174],"propose":[105],"novel":[107],"method":[108],"select":[110],"informative":[111,132],"using":[114,126,187],"more":[116],"efficient":[117],"algorithm":[118,160],"called":[119],"Sparse":[120,145,180],"PCA.":[121],"First,":[122],"show":[124],"large-scale":[128],"multiple-view":[129],"database,":[131],"can":[134],"be":[135],"reliably":[136],"identified":[137],"highdimensional":[140],"dictionary":[142],"applying":[144],"PCA":[146,181],"histograms":[149],"each":[151],"category.":[153],"Our":[154],"experiment":[155],"shows":[156],"new":[159,177,193],"improves":[161],"compared":[164],"traditional":[167],"SfM":[171],"methods.":[172],"Second,":[173],"present":[175],"solution":[178],"as":[182,206],"semidefinite":[184],"programming":[185],"problem":[186],"Augmented":[189],"Lagrangian":[190],"Method.":[191],"solver":[194],"outperforms":[195],"state":[197],"art":[200],"for":[201,209],"estimating":[202],"sparse":[203],"principal":[204],"basis":[208],"low-dimensional":[211],"subspace":[212],"model.":[213]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
