{"id":"https://openalex.org/W2123603936","doi":"https://doi.org/10.1109/icip.2008.4711921","title":"Sparse Non-negative Pattern Learning for image representation","display_name":"Sparse Non-negative Pattern Learning for image representation","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2123603936","doi":"https://doi.org/10.1109/icip.2008.4711921","mag":"2123603936"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5068744936","display_name":"Dian Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dian Gong","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Riverside, CA, USA","[Dept. of Electr. Eng., Univ. of California, Riverside, CA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Univ. of California, Riverside, CA]","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010054986","display_name":"Xuemei Zhao","orcid":"https://orcid.org/0000-0002-0996-3538"},"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":"Xuemei Zhao","raw_affiliation_strings":["Department of Electronics Engineering, Tsinghua University, Beijing, China","Dept. of Electron. Eng., Tsinghua Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Tsinghua Univ., Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100901127","display_name":"Qiong Yang","orcid":"https://orcid.org/0000-0002-0325-0860"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Qiong Yang","raw_affiliation_strings":["ESAT-PSI/VISICS, Katholieke Universiteit Leuven, Heverlee, Belgium","ESAT-PSI/VISICS, Katholieke Univ. Leuven, Leuven"],"affiliations":[{"raw_affiliation_string":"ESAT-PSI/VISICS, Katholieke Universiteit Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"ESAT-PSI/VISICS, Katholieke Univ. Leuven, Leuven","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068744936"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13356544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"981","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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":0.9954000115394592,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/neural-coding","display_name":"Neural coding","score":0.7532501220703125},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7340695858001709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7035930156707764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920687556266785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501284837722778},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6344234347343445},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5435582995414734},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5143445730209351},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5038887858390808},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49846506118774414},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4799366593360901},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47831156849861145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2203308343887329}],"concepts":[{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7532501220703125},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7340695858001709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7035930156707764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920687556266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501284837722778},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6344234347343445},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5435582995414734},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5143445730209351},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5038887858390808},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49846506118774414},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4799366593360901},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47831156849861145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2203308343887329},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4711921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1989975849","https://openalex.org/W2098693229","https://openalex.org/W2113606819","https://openalex.org/W2118718620","https://openalex.org/W2122922389","https://openalex.org/W2138729701","https://openalex.org/W2145889472","https://openalex.org/W2148154358","https://openalex.org/W2477794859","https://openalex.org/W3203633735","https://openalex.org/W6677759377","https://openalex.org/W6680499448"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2539392819","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471","https://openalex.org/W2203155458"],"abstract_inverted_index":{"In":[0,15],"this":[1],"paper,":[2],"we":[3,76,90],"propose":[4],"Sparse":[5],"Non-negative":[6],"Pattern":[7],"Learning":[8],"(SNPL)":[9],"based":[10,48],"on":[11],"self-taught":[12,95],"learning":[13,96],"framework.":[14],"the":[16,39,43,92,107,123],"algorithm,":[17,44],"visual":[18],"patterns":[19,61],"are":[20,36],"first":[21],"learned":[22],"from":[23],"unlabeled":[24],"data":[25],"by":[26,38],"non-negative":[27,49,58],"matrix":[28],"approximation":[29],"with":[30],"sparseness":[31],"constraints,":[32],"and":[33,57,88,101,118],"then":[34],"features":[35,93],"extracted":[37],"second":[40],"part":[41],"of":[42,60,125],"a":[45,66,99],"conjugate":[46],"family":[47],"sparse":[50,56],"feature":[51,82,116],"extraction":[52,83],"method.":[53],"By":[54],"combining":[55],"constraints":[59],"together,":[62],"SNPL":[63,126],"model":[64,109],"gives":[65],"better":[67],"representation":[68],"for":[69,81,94],"images":[70],"than":[71],"state-of-art":[72],"methods.":[73],"Beyond":[74],"that,":[75],"give":[77],"an":[78],"analytical":[79],"solution":[80],"although":[84],"it":[85],"is":[86],"approximate,":[87],"thereby":[89],"extract":[91],"framework":[97],"in":[98],"faster":[100],"more":[102],"stable":[103],"way.":[104],"We":[105],"apply":[106],"new":[108],"to":[110],"various":[111],"areas,":[112],"including":[113],"pattern":[114],"coding,":[115],"extraction,":[117],"recognition.":[119],"Experimental":[120],"results":[121],"show":[122],"advantages":[124],"model.":[127]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}