{"id":"https://openalex.org/W198762476","doi":"https://doi.org/10.1007/11840930_51","title":"Learning by Integrating Information Within and Across Fixations","display_name":"Learning by Integrating Information Within and Across Fixations","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W198762476","doi":"https://doi.org/10.1007/11840930_51","mag":"198762476"},"language":"en","primary_location":{"id":"doi:10.1007/11840930_51","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11840930_51","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/A5070935552","display_name":"Predrag Neskovic","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Predrag Neskovic","raw_affiliation_strings":["Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI, 02912, USA","Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI, 02912, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI#TAB#","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525811","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0002-2336-7695"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Wu","raw_affiliation_strings":["Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI, 02912, USA","Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI, 02912, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI#TAB#","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109971261","display_name":"Leon N. Cooper","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leon N Cooper","raw_affiliation_strings":["Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI, 02912, USA","Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI, 02912, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Institute for Brain and Neural Systems and Department of Physics, Brown University, Providence, RI#TAB#","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070935552"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.9497,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73044639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"488","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9940000176429749,"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":0.9940000176429749,"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/T10320","display_name":"Neural Networks and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8405774831771851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7052813768386841},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6464793682098389},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6388136744499207},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5733576416969299},{"id":"https://openalex.org/keywords/learning-object","display_name":"Learning object","score":0.5578293204307556},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.518559992313385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47917261719703674},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47900694608688354},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4784836173057556},{"id":"https://openalex.org/keywords/fixation-point","display_name":"Fixation point","score":0.4421645700931549},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43755286931991577},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43571463227272034},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42805758118629456},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.41123533248901367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37180307507514954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06434035301208496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8405774831771851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7052813768386841},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6464793682098389},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6388136744499207},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5733576416969299},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.5578293204307556},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.518559992313385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47917261719703674},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47900694608688354},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4784836173057556},{"id":"https://openalex.org/C2984933120","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Fixation point","level":2,"score":0.4421645700931549},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43755286931991577},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43571463227272034},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42805758118629456},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.41123533248901367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37180307507514954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06434035301208496},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11840930_51","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11840930_51","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1624854622","https://openalex.org/W1988337338","https://openalex.org/W2012330712","https://openalex.org/W2053631137","https://openalex.org/W2124386111","https://openalex.org/W2128570962","https://openalex.org/W2139729036","https://openalex.org/W2149194912","https://openalex.org/W2151709124","https://openalex.org/W2155511848","https://openalex.org/W2156406284","https://openalex.org/W2162708558","https://openalex.org/W2164598857","https://openalex.org/W2171188998"],"related_works":["https://openalex.org/W2559114496","https://openalex.org/W1451354128","https://openalex.org/W2082067302","https://openalex.org/W2367157437","https://openalex.org/W2489213007","https://openalex.org/W2098592517","https://openalex.org/W2805506864","https://openalex.org/W1559568205","https://openalex.org/W2752226557","https://openalex.org/W1502661168"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}