{"id":"https://openalex.org/W2108445923","doi":"https://doi.org/10.1109/tsp.2012.2192436","title":"Boltzmann Machine and Mean-Field Approximation for Structured Sparse Decompositions","display_name":"Boltzmann Machine and Mean-Field Approximation for Structured Sparse Decompositions","publication_year":2012,"publication_date":"2012-04-11","ids":{"openalex":"https://openalex.org/W2108445923","doi":"https://doi.org/10.1109/tsp.2012.2192436","mag":"2108445923"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2012.2192436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2012.2192436","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5081351204","display_name":"Ang\u00e9lique Dr\u00e9meau","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I4210091942","display_name":"Institut Langevin","ror":"https://ror.org/00kr24y60","country_code":"FR","type":"facility","lineage":["https://openalex.org/I110736937","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I190752583","https://openalex.org/I204730241","https://openalex.org/I2746051580","https://openalex.org/I39804081","https://openalex.org/I4210091942","https://openalex.org/I98910050"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Dremeau","raw_affiliation_strings":["CNRS UMR 7587, Institut Langevin, ESPCI ParisTech, Paris, France","Inst.-Langevin, ESPCI-ParisTech, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS UMR 7587, Institut Langevin, ESPCI ParisTech, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I4210091942","https://openalex.org/I98910050"]},{"raw_affiliation_string":"Inst.-Langevin, ESPCI-ParisTech, Paris, France","institution_ids":["https://openalex.org/I98910050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063342552","display_name":"C\u00e9dric Herzet","orcid":"https://orcid.org/0000-0003-3039-2669"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Herzet","raw_affiliation_strings":["INRIA Centre Rennes-Bretagne Atlantique, Rennes, France","INRIA Centre Rennes - Bretagne Atlantique, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Centre Rennes-Bretagne Atlantique, Rennes, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"raw_affiliation_string":"INRIA Centre Rennes - Bretagne Atlantique, Rennes, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058259063","display_name":"Laurent Daudet","orcid":"https://orcid.org/0000-0001-5811-1078"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I185839726","display_name":"Institut Universitaire de France","ror":"https://ror.org/055khg266","country_code":"FR","type":"education","lineage":["https://openalex.org/I185839726"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091942","display_name":"Institut Langevin","ror":"https://ror.org/00kr24y60","country_code":"FR","type":"facility","lineage":["https://openalex.org/I110736937","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I190752583","https://openalex.org/I204730241","https://openalex.org/I2746051580","https://openalex.org/I39804081","https://openalex.org/I4210091942","https://openalex.org/I98910050"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Daudet","raw_affiliation_strings":["CNRS UMR 7587, Institut Langevin, ESPCI ParisTech, Paris, France","Institut Universitaire de France, Universit\u00e9 Paris 7 Denis Diderot, France","Inst.-Langevin, ESPCI-ParisTech, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS UMR 7587, Institut Langevin, ESPCI ParisTech, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I4210091942","https://openalex.org/I98910050"]},{"raw_affiliation_string":"Institut Universitaire de France, Universit\u00e9 Paris 7 Denis Diderot, France","institution_ids":["https://openalex.org/I185839726","https://openalex.org/I204730241"]},{"raw_affiliation_string":"Inst.-Langevin, ESPCI-ParisTech, Paris, France","institution_ids":["https://openalex.org/I98910050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2318,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.95980392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"60","issue":"7","first_page":"3425","last_page":"3438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7308726906776428},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6132700443267822},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5831959247589111},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5593782067298889},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5297573208808899},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4967523217201233},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4879014194011688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4775579571723938},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46939224004745483},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4540877342224121},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.44135603308677673},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.43448519706726074},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42385855317115784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4147777855396271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4084954261779785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789229094982147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3648049831390381},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1284392774105072},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10656431317329407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07820591330528259}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7308726906776428},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6132700443267822},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5831959247589111},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5593782067298889},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5297573208808899},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4967523217201233},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4879014194011688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4775579571723938},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46939224004745483},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4540877342224121},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.44135603308677673},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.43448519706726074},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42385855317115784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4147777855396271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4084954261779785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789229094982147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3648049831390381},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1284392774105072},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10656431317329407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07820591330528259},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsp.2012.2192436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2012.2192436","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.391.2464","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.2464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.rennes.inria.fr/Cedric.Herzet/Cedric.Herzet/Publications_files/Dremeau2012a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.1876","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.1876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/67/96/58/PDF/manuscript.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.12","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.12","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.institut-langevin.espci.fr/IMG/pdf/2012_boltzmann_machine_and_mean-field_approximation_for_structured_sparse_decompositions.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1482559543","https://openalex.org/W1492251543","https://openalex.org/W1494243508","https://openalex.org/W1528912019","https://openalex.org/W1533758202","https://openalex.org/W1539012881","https://openalex.org/W1570770495","https://openalex.org/W1576838924","https://openalex.org/W1615740763","https://openalex.org/W1654534665","https://openalex.org/W1663973292","https://openalex.org/W1834935568","https://openalex.org/W1969423031","https://openalex.org/W1970304186","https://openalex.org/W1977113601","https://openalex.org/W1980454827","https://openalex.org/W1981157266","https://openalex.org/W1986931325","https://openalex.org/W2002336572","https://openalex.org/W2028781966","https://openalex.org/W2031839259","https://openalex.org/W2042492924","https://openalex.org/W2049502219","https://openalex.org/W2049633694","https://openalex.org/W2050237878","https://openalex.org/W2057395973","https://openalex.org/W2063978378","https://openalex.org/W2093629426","https://openalex.org/W2100526560","https://openalex.org/W2105464873","https://openalex.org/W2115706991","https://openalex.org/W2115979064","https://openalex.org/W2116496279","https://openalex.org/W2118286647","https://openalex.org/W2119330592","https://openalex.org/W2119862467","https://openalex.org/W2122315118","https://openalex.org/W2123107972","https://openalex.org/W2125680629","https://openalex.org/W2127884536","https://openalex.org/W2128659236","https://openalex.org/W2135046866","https://openalex.org/W2135780853","https://openalex.org/W2135859872","https://openalex.org/W2137277750","https://openalex.org/W2138019504","https://openalex.org/W2140499889","https://openalex.org/W2141226779","https://openalex.org/W2142973873","https://openalex.org/W2147276092","https://openalex.org/W2151693816","https://openalex.org/W2151932824","https://openalex.org/W2153415731","https://openalex.org/W2154153158","https://openalex.org/W2158959200","https://openalex.org/W2160979406","https://openalex.org/W2161195301","https://openalex.org/W2166046159","https://openalex.org/W2166670884","https://openalex.org/W2167507984","https://openalex.org/W2170844819","https://openalex.org/W2172172255","https://openalex.org/W2289917018","https://openalex.org/W2292697821","https://openalex.org/W2296616510","https://openalex.org/W2543631487","https://openalex.org/W2567948266","https://openalex.org/W2950529782","https://openalex.org/W2951779732","https://openalex.org/W2952964368","https://openalex.org/W2954811775","https://openalex.org/W2963206527","https://openalex.org/W3100706365","https://openalex.org/W3102754772","https://openalex.org/W3125735862","https://openalex.org/W4212863985","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W4300819821","https://openalex.org/W6631938799","https://openalex.org/W6633833189","https://openalex.org/W6634494761","https://openalex.org/W6638540176","https://openalex.org/W6685105177","https://openalex.org/W6685327544"],"related_works":["https://openalex.org/W2916681395","https://openalex.org/W2529583158","https://openalex.org/W1575733688","https://openalex.org/W2963348254","https://openalex.org/W1641020902","https://openalex.org/W3128475979","https://openalex.org/W2133316674","https://openalex.org/W1968450737","https://openalex.org/W3121130100","https://openalex.org/W2619210453"],"abstract_inverted_index":{"Taking":[0],"advantage":[1],"of":[2,26,39,48,88,101],"the":[3,46,66,83,86,89,102],"structures":[4,40],"inherent":[5],"in":[6,74],"many":[7],"sparse":[8,90],"decompositions":[9],"constitutes":[10],"a":[11,23,30,36,49,52,62,75],"promising":[12],"research":[13],"axis.":[14],"In":[15],"this":[16,20,57,95],"paper,":[17],"we":[18,59],"address":[19],"problem":[21],"from":[22],"Bayesian":[24],"point":[25],"view.":[27],"We":[28,92],"exploit":[29],"Boltzmann":[31],"machine,":[32],"allowing":[33],"to":[34,61,98],"take":[35],"large":[37],"variety":[38],"into":[41],"account,":[42],"and":[43,65],"focus":[44],"on":[45,82],"resolution":[47],"marginalized":[50],"maximum":[51],"posteriori":[53],"problem.":[54],"To":[55],"solve":[56],"problem,":[58],"resort":[60],"mean-field":[63],"approximation":[64],"\u201cvariational":[67],"Bayes":[68],"expectation-maximization\u201d":[69],"algorithm.":[70],"This":[71],"approach":[72],"results":[73],"soft":[76],"procedure":[77],"making":[78],"no":[79],"hard":[80],"decision":[81],"support":[84],"or":[85],"values":[87],"representation.":[91],"show":[93],"that":[94],"characteristic":[96],"leads":[97],"an":[99],"improvement":[100],"performance":[103],"over":[104],"state-of-the-art":[105],"algorithms.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
