{"id":"https://openalex.org/W2102805523","doi":"https://doi.org/10.1109/icassp.2012.6288348","title":"Discriminant sparse coding for image classification","display_name":"Discriminant sparse coding for image classification","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2102805523","doi":"https://doi.org/10.1109/icassp.2012.6288348","mag":"2102805523"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5091703383","display_name":"Baodi Liu","orcid":"https://orcid.org/0000-0002-1408-5514"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Di Liu","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102952938","display_name":"Yu-Xiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Xiong Wang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684572","display_name":"Yujin Zhang","orcid":"https://orcid.org/0000-0003-1225-4334"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Jin Zhang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063581021","display_name":"Yin Zheng","orcid":"https://orcid.org/0000-0001-7838-4794"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zheng","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Department of Electronic Engineering, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7199,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95664075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"2193","last_page":"2196"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.992900013923645,"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/discriminative-model","display_name":"Discriminative model","score":0.8179848790168762},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7899846434593201},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7349598407745361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7059687376022339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7052105665206909},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.6910186409950256},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6767446398735046},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6213234663009644},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5800979137420654},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5601920485496521},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.55447918176651},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.47877347469329834},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4426673352718353},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3147924542427063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3111336827278137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21652022004127502},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06558522582054138}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8179848790168762},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7899846434593201},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7349598407745361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059687376022339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7052105665206909},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.6910186409950256},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6767446398735046},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6213234663009644},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5800979137420654},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5601920485496521},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.55447918176651},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.47877347469329834},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4426673352718353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3147924542427063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3111336827278137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21652022004127502},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06558522582054138}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2012.6288348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.865.1939","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.865.1939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0002193.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W2027922120","https://openalex.org/W2090042335","https://openalex.org/W2097018403","https://openalex.org/W2104978738","https://openalex.org/W2107034620","https://openalex.org/W2128638419","https://openalex.org/W2147625498","https://openalex.org/W2153635508","https://openalex.org/W2155490028","https://openalex.org/W2155904486","https://openalex.org/W2162915993","https://openalex.org/W2164996087","https://openalex.org/W2532478580","https://openalex.org/W2953139536","https://openalex.org/W4232730838","https://openalex.org/W6674642818","https://openalex.org/W6678757208","https://openalex.org/W6728881802","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W2157785665","https://openalex.org/W2011292423","https://openalex.org/W1982774199","https://openalex.org/W2025884142","https://openalex.org/W3002372064","https://openalex.org/W1914651075","https://openalex.org/W2064227837","https://openalex.org/W2102805523","https://openalex.org/W2077580092","https://openalex.org/W2007588387"],"abstract_inverted_index":{"Recently,":[0],"dictionary":[1,36,59,76,93,122],"learned":[2,37],"by":[3,38],"sparse":[4,39,84],"coding":[5,19,40,85],"has":[6,14,118],"been":[7],"widely":[8],"adopted":[9],"in":[10,27],"image":[11,71],"classification":[12,62],"and":[13,99,127],"achieved":[15],"competitive":[16],"performance.":[17,130],"Sparse":[18],"is":[20,51,55,86,105],"capable":[21],"of":[22],"reducing":[23],"the":[24,44,57,61,69,109],"reconstruction":[25],"error":[26],"transforming":[28],"low-level":[29],"descriptors":[30],"into":[31],"compact":[32],"mid-level":[33],"features.":[34],"Nevertheless,":[35],"does":[41],"not":[42,56],"have":[43],"ability":[45],"to":[46,52,88,107,120],"distinguish":[47],"different":[48],"classes.":[49],"That":[50],"say,":[53],"it":[54],"optimum":[58],"for":[60],"task.":[63],"In":[64],"this":[65],"paper,":[66],"based":[67],"on":[68],"global":[70],"statistics,":[72],"a":[73,90,100],"novel":[74],"discriminant":[75,81],"learning":[77],"method":[78],"combining":[79],"linear":[80],"analysis":[82],"with":[83,123],"proposed":[87,106],"obtain":[89],"more":[91,124],"discriminative":[92,125],"while":[94],"preserving":[95],"its":[96],"descriptive":[97],"abilities":[98],"block":[101],"coordinate":[102],"descent":[103],"algorithm":[104,117],"solve":[108],"optimization":[110],"problem.":[111],"Experimental":[112],"results":[113],"show":[114],"that":[115],"our":[116],"capabilities":[119],"learn":[121],"power":[126],"achieves":[128],"superior":[129]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}