{"id":"https://openalex.org/W1597810690","doi":"https://doi.org/10.1007/11596981_147","title":"Adaptive Sampling for Monte Carlo Global Illumination Using Tsallis Entropy","display_name":"Adaptive Sampling for Monte Carlo Global Illumination Using Tsallis Entropy","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1597810690","doi":"https://doi.org/10.1007/11596981_147","mag":"1597810690"},"language":"en","primary_location":{"id":"doi:10.1007/11596981_147","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11596981_147","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/A5077573837","display_name":"Qing Xu","orcid":"https://orcid.org/0000-0002-8243-6670"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qing Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tianjin University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056771230","display_name":"Shiqiang Bao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiqiang Bao","raw_affiliation_strings":["Department of Computer Science and Technology, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tianjin University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422085","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-7875-5193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tianjin University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056377542","display_name":"Ruijuan Hu","orcid":"https://orcid.org/0000-0002-6973-9829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruijuan Hu","raw_affiliation_strings":["Department of Computer Science and Technology, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tianjin University, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045086893","display_name":"Mateu Sbert","orcid":"https://orcid.org/0000-0003-2164-6858"},"institutions":[{"id":"https://openalex.org/I251424209","display_name":"University of Girona","ror":"https://ror.org/01xdxns91","country_code":"ES","type":"education","lineage":["https://openalex.org/I251424209"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mateu Sbert","raw_affiliation_strings":["Institute of Informatics and Applications, University of Girona, Spain"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Applications, University of Girona, Spain","institution_ids":["https://openalex.org/I251424209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077573837"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3423,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5409572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"989","last_page":"994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9933000206947327,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9933000206947327,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9686999917030334,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9552000164985657,"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/tsallis-entropy","display_name":"Tsallis entropy","score":0.9165505766868591},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6832095980644226},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6548582911491394},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.5858656167984009},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5531547665596008},{"id":"https://openalex.org/keywords/rejection-sampling","display_name":"Rejection sampling","score":0.5388739705085754},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.487708181142807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48293325304985046},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.47556227445602417},{"id":"https://openalex.org/keywords/joint-entropy","display_name":"Joint entropy","score":0.4121990203857422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3927302360534668},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.3600982427597046},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3544347882270813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34944948554039},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.3111359477043152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2692357301712036},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23996955156326294},{"id":"https://openalex.org/keywords/tsallis-statistics","display_name":"Tsallis statistics","score":0.14466822147369385},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12186026573181152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.04496857523918152},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.0409674346446991}],"concepts":[{"id":"https://openalex.org/C117521176","wikidata":"https://www.wikidata.org/wiki/Q7849341","display_name":"Tsallis entropy","level":3,"score":0.9165505766868591},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6832095980644226},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6548582911491394},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5858656167984009},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5531547665596008},{"id":"https://openalex.org/C187192777","wikidata":"https://www.wikidata.org/wiki/Q381699","display_name":"Rejection sampling","level":5,"score":0.5388739705085754},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.487708181142807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48293325304985046},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.47556227445602417},{"id":"https://openalex.org/C106752470","wikidata":"https://www.wikidata.org/wiki/Q1364826","display_name":"Joint entropy","level":3,"score":0.4121990203857422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3927302360534668},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.3600982427597046},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3544347882270813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34944948554039},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.3111359477043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2692357301712036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23996955156326294},{"id":"https://openalex.org/C2780056601","wikidata":"https://www.wikidata.org/wiki/Q7849339","display_name":"Tsallis statistics","level":2,"score":0.14466822147369385},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12186026573181152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.04496857523918152},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0409674346446991},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11596981_147","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11596981_147","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W141606104","https://openalex.org/W190750790","https://openalex.org/W208903314","https://openalex.org/W620917163","https://openalex.org/W1485484480","https://openalex.org/W1491627747","https://openalex.org/W1497576442","https://openalex.org/W1560089794","https://openalex.org/W1564611446","https://openalex.org/W1585372823","https://openalex.org/W1590171261","https://openalex.org/W1965744692","https://openalex.org/W1983874169","https://openalex.org/W2016055604","https://openalex.org/W2018049120","https://openalex.org/W2020862250","https://openalex.org/W2021143927","https://openalex.org/W2025461145","https://openalex.org/W2027303177","https://openalex.org/W2067943751","https://openalex.org/W2072248410","https://openalex.org/W2078339003","https://openalex.org/W2106636568","https://openalex.org/W2122882636","https://openalex.org/W2131057372","https://openalex.org/W2132282325","https://openalex.org/W2133056502","https://openalex.org/W2149257403","https://openalex.org/W2166549067","https://openalex.org/W2911851818","https://openalex.org/W3101893557","https://openalex.org/W3146230148","https://openalex.org/W4237407156","https://openalex.org/W6619429354"],"related_works":["https://openalex.org/W2143631990","https://openalex.org/W1984359518","https://openalex.org/W2515438287","https://openalex.org/W2116791275","https://openalex.org/W4386898430","https://openalex.org/W2127967590","https://openalex.org/W2509725027","https://openalex.org/W1597810690","https://openalex.org/W2031252569","https://openalex.org/W2890892537"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
