{"id":"https://openalex.org/W991109290","doi":"https://doi.org/10.1007/978-3-319-16634-6_3","title":"Spectral Shape Decomposition by Using a Constrained NMF Algorithm","display_name":"Spectral Shape Decomposition by Using a Constrained NMF Algorithm","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W991109290","doi":"https://doi.org/10.1007/978-3-319-16634-6_3","mag":"991109290"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-16634-6_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-16634-6_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5033689426","display_name":"Foteini Fotopoulou","orcid":"https://orcid.org/0000-0002-0916-3047"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Foteini Fotopoulou","raw_affiliation_strings":["Department of Computer Engineering and Informatics, University of Patras, Rion, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Informatics, University of Patras, Rion, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054394462","display_name":"Emmanouil \u0396. Psarakis","orcid":"https://orcid.org/0000-0002-9627-0640"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Emmanouil Z. Psarakis","raw_affiliation_strings":["Department of Computer Engineering and Informatics, University of Patras, Rion, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Informatics, University of Patras, Rion, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.747,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67145365,"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":"30","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8295456767082214},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7148215174674988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6555636525154114},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.6115677356719971},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.5961707234382629},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5581445097923279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5490680932998657},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5427939295768738},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5355131030082703},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5098761320114136},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45465943217277527},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.42831701040267944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2477116882801056},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14193624258041382},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08852654695510864}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8295456767082214},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7148215174674988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6555636525154114},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.6115677356719971},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.5961707234382629},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5581445097923279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5490680932998657},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5427939295768738},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5355131030082703},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5098761320114136},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45465943217277527},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.42831701040267944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2477116882801056},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14193624258041382},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08852654695510864},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-16634-6_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-16634-6_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.682.9129","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.9129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://whdeng.cn/FSLCV14/pdffiles/w12-p1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1501418839","https://openalex.org/W1532372219","https://openalex.org/W1589666435","https://openalex.org/W1736339626","https://openalex.org/W1957181381","https://openalex.org/W1976632974","https://openalex.org/W2004686460","https://openalex.org/W2015583498","https://openalex.org/W2022368438","https://openalex.org/W2043545458","https://openalex.org/W2056857971","https://openalex.org/W2059745395","https://openalex.org/W2060947482","https://openalex.org/W2061626909","https://openalex.org/W2067946238","https://openalex.org/W2077078647","https://openalex.org/W2103972604","https://openalex.org/W2106404777","https://openalex.org/W2107441639","https://openalex.org/W2108865768","https://openalex.org/W2113983507","https://openalex.org/W2125130833","https://openalex.org/W2130347733","https://openalex.org/W2131628350","https://openalex.org/W2132538571","https://openalex.org/W2135029798","https://openalex.org/W2136171036","https://openalex.org/W2143355609","https://openalex.org/W2144359569","https://openalex.org/W2145962650","https://openalex.org/W2151407741","https://openalex.org/W2155304077","https://openalex.org/W2492794003","https://openalex.org/W2571268788","https://openalex.org/W3143596294","https://openalex.org/W4243110755","https://openalex.org/W6601365666"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}