{"id":"https://openalex.org/W2509793569","doi":"https://doi.org/10.1109/icip.2016.7533019","title":"Texture image classification with Riemannian fisher vectors","display_name":"Texture image classification with Riemannian fisher vectors","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509793569","doi":"https://doi.org/10.1109/icip.2016.7533019","mag":"2509793569"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01379593","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085579269","display_name":"Ioana Ilea","orcid":"https://orcid.org/0000-0003-3174-7716"},"institutions":[{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["FR","RO"],"is_corresponding":true,"raw_author_name":"Ioana Ilea","raw_affiliation_strings":["Groupe Signal et Image, Laboratoire IMS","Technical University of Cluj-Napoca (Str. Constantin Daicoviciu nr 15, 400020 Cluj - Napoca - Romania)","IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Groupe Signal et Image, Laboratoire IMS","institution_ids":[]},{"raw_affiliation_string":"Technical University of Cluj-Napoca (Str. Constantin Daicoviciu nr 15, 400020 Cluj - Napoca - Romania)","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037554238","display_name":"Lionel Bombrun","orcid":"https://orcid.org/0000-0001-9036-3988"},"institutions":[{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Bombrun","raw_affiliation_strings":["Groupe Signal et Image, Laboratoire IMS","IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Groupe Signal et Image, Laboratoire IMS","institution_ids":[]},{"raw_affiliation_string":"IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084906943","display_name":"Christian Germain","orcid":"https://orcid.org/0000-0002-3097-8283"},"institutions":[{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christian Germain","raw_affiliation_strings":["Groupe Signal et Image, Laboratoire IMS","IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Groupe Signal et Image, Laboratoire IMS","institution_ids":[]},{"raw_affiliation_string":"IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000588539","display_name":"Romulus Terebe\u015f","orcid":"https://orcid.org/0000-0003-3602-4349"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Romulus Terebes","raw_affiliation_strings":["Technical University of Cluj-Napoca","Technical University of Cluj-Napoca (Str. Constantin Daicoviciu nr 15, 400020 Cluj - Napoca - Romania)"],"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Technical University of Cluj-Napoca (Str. Constantin Daicoviciu nr 15, 400020 Cluj - Napoca - Romania)","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111422545","display_name":"Monica Borda","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Monica Borda","raw_affiliation_strings":["Technical University of Cluj-Napoca","Technical University of Cluj-Napoca (Str. Constantin Daicoviciu nr 15, 400020 Cluj - Napoca - Romania)"],"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Technical University of Cluj-Napoca (Str. Constantin Daicoviciu nr 15, 400020 Cluj - Napoca - Romania)","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042761955","display_name":"Yannick Berthoumieu","orcid":"https://orcid.org/0000-0002-7559-0602"},"institutions":[{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Berthoumieu","raw_affiliation_strings":["Groupe Signal et Image, Laboratoire IMS","IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Groupe Signal et Image, Laboratoire IMS","institution_ids":[]},{"raw_affiliation_string":"IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085579269"],"corresponding_institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210157089","https://openalex.org/I4210160189"],"apc_list":null,"apc_paid":null,"fwci":1.169,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85171262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"3543","last_page":"3547"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9984999895095825,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.8908650875091553},{"id":"https://openalex.org/keywords/riemannian-manifold","display_name":"Riemannian manifold","score":0.6488341093063354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6114417910575867},{"id":"https://openalex.org/keywords/information-geometry","display_name":"Information geometry","score":0.5875070691108704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5740478038787842},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5442569255828857},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5294228196144104},{"id":"https://openalex.org/keywords/statistical-manifold","display_name":"Statistical manifold","score":0.5259566307067871},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.48709535598754883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4627727270126343},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45546990633010864},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4470759928226471},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.42989280819892883},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3798341155052185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3251670002937317},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.31163427233695984},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.23036658763885498},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18871542811393738},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18742385506629944},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08889502286911011},{"id":"https://openalex.org/keywords/scalar-curvature","display_name":"Scalar curvature","score":0.07838529348373413},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06470522284507751}],"concepts":[{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.8908650875091553},{"id":"https://openalex.org/C2779593128","wikidata":"https://www.wikidata.org/wiki/Q632814","display_name":"Riemannian manifold","level":2,"score":0.6488341093063354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6114417910575867},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.5875070691108704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5740478038787842},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5442569255828857},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5294228196144104},{"id":"https://openalex.org/C169391604","wikidata":"https://www.wikidata.org/wiki/Q7604402","display_name":"Statistical manifold","level":5,"score":0.5259566307067871},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.48709535598754883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627727270126343},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45546990633010864},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4470759928226471},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.42989280819892883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3798341155052185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3251670002937317},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.31163427233695984},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.23036658763885498},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18871542811393738},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18742385506629944},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08889502286911011},{"id":"https://openalex.org/C12520029","wikidata":"https://www.wikidata.org/wiki/Q1147161","display_name":"Scalar curvature","level":3,"score":0.07838529348373413},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06470522284507751},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7533019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01379593v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01379593","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.3543 - 3547, ⟨10.1109/ICIP.2016.7533019⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01379593v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01379593","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.3543 - 3547, ⟨10.1109/ICIP.2016.7533019⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1498258408","https://openalex.org/W1533131927","https://openalex.org/W1549083695","https://openalex.org/W1606858007","https://openalex.org/W1625255723","https://openalex.org/W1738112110","https://openalex.org/W1953929691","https://openalex.org/W1966385142","https://openalex.org/W1967146909","https://openalex.org/W1978394996","https://openalex.org/W1994675040","https://openalex.org/W2012592962","https://openalex.org/W2035715639","https://openalex.org/W2045057203","https://openalex.org/W2071027807","https://openalex.org/W2079630523","https://openalex.org/W2083657345","https://openalex.org/W2147238549","https://openalex.org/W2149684865","https://openalex.org/W2151509460","https://openalex.org/W2166473218","https://openalex.org/W2293954355","https://openalex.org/W2296031579","https://openalex.org/W2484324509","https://openalex.org/W2603910652","https://openalex.org/W2963167705","https://openalex.org/W3103193393","https://openalex.org/W6630012369","https://openalex.org/W6631960939","https://openalex.org/W6636494156","https://openalex.org/W6637754412","https://openalex.org/W6684116732"],"related_works":["https://openalex.org/W2546668543","https://openalex.org/W1975282624","https://openalex.org/W2548708721","https://openalex.org/W2059474323","https://openalex.org/W1532125927","https://openalex.org/W2950501992","https://openalex.org/W4297986345","https://openalex.org/W2391047418","https://openalex.org/W2188957099","https://openalex.org/W2729298440"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3],"generalization":[4],"of":[5,28,44,61],"the":[6,10,25,42,56,68],"Fisher":[7,18,72],"vectors":[8,73],"to":[9,52],"Riemannian":[11,17,29,62,71],"manifold.":[12],"The":[13,48],"proposed":[14,58],"descriptors,":[15],"called":[16],"vectors,":[19],"are":[20,35,39,50,74],"defined":[21],"first,":[22],"based":[23],"on":[24],"mixture":[26],"model":[27],"Gaussian":[30],"distributions.":[31],"Next,":[32],"their":[33],"expressions":[34],"derived":[36],"and":[37,64],"they":[38],"applied":[40],"in":[41],"context":[43],"texture":[45],"image":[46],"classification.":[47],"results":[49],"compared":[51],"those":[53],"given":[54],"by":[55],"recently":[57],"algorithms,":[59],"bag":[60],"words":[63],"R-VLAD.":[65],"In":[66],"addition,":[67],"most":[69],"discriminant":[70],"identified.":[75]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}