{"id":"https://openalex.org/W2947497515","doi":"https://doi.org/10.1007/978-3-030-20890-5_27","title":"A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction","display_name":"A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947497515","doi":"https://doi.org/10.1007/978-3-030-20890-5_27","mag":"2947497515"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-20890-5_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-20890-5_27","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/A5018884738","display_name":"Hideaki Hayashi","orcid":"https://orcid.org/0000-0002-4800-1761"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hideaki Hayashi","raw_affiliation_strings":["Kyushu University, 744 Motooka Nishi-ku, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, 744 Motooka Nishi-ku, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051387162","display_name":"Seiichi Uchida","orcid":"https://orcid.org/0000-0001-8592-7566"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Uchida","raw_affiliation_strings":["Kyushu University, 744 Motooka Nishi-ku, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, 744 Motooka Nishi-ku, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018884738"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0252,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77674137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9868999719619751,"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":0.9868999719619751,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9832000136375427,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9804999828338623,"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/multiplication","display_name":"Multiplication (music)","score":0.7604140639305115},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5639209747314453},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.560828447341919},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5108256340026855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44840410351753235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2833741307258606},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.23487696051597595},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1545320451259613},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08906590938568115},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.0795736014842987},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.04087376594543457},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.040779054164886475}],"concepts":[{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.7604140639305115},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5639209747314453},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.560828447341919},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5108256340026855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44840410351753235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2833741307258606},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.23487696051597595},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1545320451259613},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08906590938568115},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0795736014842987},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.04087376594543457},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.040779054164886475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-20890-5_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-20890-5_27","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W117943111","https://openalex.org/W1641498739","https://openalex.org/W1665214252","https://openalex.org/W1797268635","https://openalex.org/W1923344279","https://openalex.org/W2001133433","https://openalex.org/W2006766164","https://openalex.org/W2031586513","https://openalex.org/W2089899524","https://openalex.org/W2094314072","https://openalex.org/W2104843786","https://openalex.org/W2112796928","https://openalex.org/W2135007098","https://openalex.org/W2140018905","https://openalex.org/W2159853825","https://openalex.org/W2193413348","https://openalex.org/W2305887293","https://openalex.org/W2314215175","https://openalex.org/W2345010043","https://openalex.org/W2599743206","https://openalex.org/W2741577003","https://openalex.org/W2750384547","https://openalex.org/W2752965000","https://openalex.org/W2890471749","https://openalex.org/W2962835968","https://openalex.org/W2963672682","https://openalex.org/W2963911037","https://openalex.org/W2964154897","https://openalex.org/W3118608800","https://openalex.org/W4238856144","https://openalex.org/W6600679772"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W3093936885","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}