{"id":"https://openalex.org/W3013470687","doi":"https://doi.org/10.1007/978-3-658-29267-6_69","title":"Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks","display_name":"Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013470687","doi":"https://doi.org/10.1007/978-3-658-29267-6_69","mag":"3013470687"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-658-29267-6_69","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-658-29267-6_69","pdf_url":null,"source":{"id":"https://openalex.org/S4210235615","display_name":"Informatik aktuell","issn_l":"1431-472X","issn":["1431-472X","2628-8958"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatik aktuell","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/A5003767673","display_name":"Weilin Fu","orcid":"https://orcid.org/0000-0003-4805-5222"},"institutions":[{"id":"https://openalex.org/I4210110240","display_name":"Max Planck Institute for the Science of Light","ror":"https://ror.org/020as7681","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210110240"]},{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Weilin Fu","raw_affiliation_strings":["International Max Planck Research School for Physics of Light (IMPRS-PL), Erlangen, Deutschland","Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland"],"affiliations":[{"raw_affiliation_string":"International Max Planck Research School for Physics of Light (IMPRS-PL), Erlangen, Deutschland","institution_ids":["https://openalex.org/I4210110240"]},{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025681380","display_name":"Katharina Breininger","orcid":"https://orcid.org/0000-0001-7600-5869"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katharina Breininger","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010021475","display_name":"Roman Schaffert","orcid":"https://orcid.org/0000-0002-0700-6216"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Schaffert","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073918042","display_name":"Nishant Ravikumar","orcid":"https://orcid.org/0000-0003-0134-107X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nishant Ravikumar","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Erlangen Graduate School in Advanced Optical Technologies(SAOT), Erlangen, Deutschland","Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t, Erlangen, Germany","Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland"],"affiliations":[{"raw_affiliation_string":"Erlangen Graduate School in Advanced Optical Technologies(SAOT), Erlangen, Deutschland","institution_ids":[]},{"raw_affiliation_string":"Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander University Erlangen-N\u00fcrnberg, Erlangen, Deutschland","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003767673"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210110240"],"apc_list":null,"apc_paid":null,"fwci":0.126,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44214645,"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":"313","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944999814033508,"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":0.9939000010490417,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8246735334396362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6755973696708679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6515204906463623},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.609463095664978},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.6058413982391357},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5715270042419434},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.552659273147583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5160622000694275},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4522344768047333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3562990128993988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21730852127075195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13788655400276184}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8246735334396362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6755973696708679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515204906463623},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.609463095664978},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.6058413982391357},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5715270042419434},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.552659273147583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5160622000694275},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4522344768047333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3562990128993988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21730852127075195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13788655400276184},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-658-29267-6_69","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-658-29267-6_69","pdf_url":null,"source":{"id":"https://openalex.org/S4210235615","display_name":"Informatik aktuell","issn_l":"1431-472X","issn":["1431-472X","2628-8958"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatik aktuell","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":1,"referenced_works":["https://openalex.org/W2979474465"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4315434538","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3208304128","https://openalex.org/W3000197790"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}