{"id":"https://openalex.org/W2988091259","doi":"https://doi.org/10.1109/icassp40776.2020.9053409","title":"Signal Clustering With Class-Independent Segmentation","display_name":"Signal Clustering With Class-Independent Segmentation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2988091259","doi":"https://doi.org/10.1109/icassp40776.2020.9053409","mag":"2988091259"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.07590","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000701918","display_name":"Stefano Gasperini","orcid":"https://orcid.org/0000-0002-7841-1569"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefano Gasperini","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany","Technical University of Munich, Computer Aided Medical Procedures, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Computer Aided Medical Procedures, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048218427","display_name":"Magdalini Paschali","orcid":"https://orcid.org/0000-0003-4967-3137"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Magdalini Paschali","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany","Technical University of Munich, Computer Aided Medical Procedures, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Computer Aided Medical Procedures, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034489056","display_name":"Carsten Hopke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136903","display_name":"Airbus (Germany)","ror":"https://ror.org/04a3akw68","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210121748","https://openalex.org/I4210136903"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Hopke","raw_affiliation_strings":["Airbus Defence and Space GmbH, Manching, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Airbus Defence and Space GmbH, Manching, Germany","institution_ids":["https://openalex.org/I4210136903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020530799","display_name":"David Wittmann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136903","display_name":"Airbus (Germany)","ror":"https://ror.org/04a3akw68","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210121748","https://openalex.org/I4210136903"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Wittmann","raw_affiliation_strings":["Airbus Defence and Space GmbH, Manching, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Airbus Defence and Space GmbH, Manching, Germany","institution_ids":["https://openalex.org/I4210136903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Computer Aided Medical Procedures, Technical University of Munich, Germany","Technical University of Munich, Computer Aided Medical Procedures, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Aided Medical Procedures, Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Computer Aided Medical Procedures, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3982","last_page":"3986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.865097165107727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266010642051697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6319488286972046},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.630051851272583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5950775742530823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.563358724117279},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5339041948318481},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5006890296936035},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44042038917541504},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42598018050193787},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07175475358963013}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.865097165107727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266010642051697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6319488286972046},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.630051851272583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5950775742530823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.563358724117279},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5339041948318481},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5006890296936035},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44042038917541504},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42598018050193787},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07175475358963013},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.07590","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.07590","pdf_url":"https://arxiv.org/pdf/1911.07590","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2988091259","is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/1911.07590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1911.07590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.07590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.17023/6851-tc88","is_oa":true,"landing_page_url":"https://doi.org/10.17023/6851-tc88","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.07590","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.07590","pdf_url":"https://arxiv.org/pdf/1911.07590","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1901129140","https://openalex.org/W2020094563","https://openalex.org/W2120303002","https://openalex.org/W2153233077","https://openalex.org/W2221409856","https://openalex.org/W2337314893","https://openalex.org/W2533545350","https://openalex.org/W2549349626","https://openalex.org/W2608862709","https://openalex.org/W2763037619","https://openalex.org/W2768405178","https://openalex.org/W2784962210","https://openalex.org/W2791871958","https://openalex.org/W2797261137","https://openalex.org/W2884851420","https://openalex.org/W2895211628","https://openalex.org/W2962852342","https://openalex.org/W2964074409","https://openalex.org/W4248480789","https://openalex.org/W6639824700","https://openalex.org/W6685380521","https://openalex.org/W6728550200","https://openalex.org/W6748483046","https://openalex.org/W6755382096","https://openalex.org/W6782267723"],"related_works":["https://openalex.org/W3013158626","https://openalex.org/W3194564026","https://openalex.org/W2386997096","https://openalex.org/W2405933695","https://openalex.org/W2753276256","https://openalex.org/W2970141505","https://openalex.org/W3177164281","https://openalex.org/W3197297604","https://openalex.org/W2989246390","https://openalex.org/W3194240962","https://openalex.org/W2964275228","https://openalex.org/W3200590151","https://openalex.org/W3108682107","https://openalex.org/W3174076245","https://openalex.org/W2907574043","https://openalex.org/W2965015324","https://openalex.org/W2891220989","https://openalex.org/W2970518483","https://openalex.org/W3013410770","https://openalex.org/W1548887373"],"abstract_inverted_index":{"Radar":[0],"signals":[1,29],"have":[2],"been":[3],"dramatically":[4],"increasing":[5],"in":[6,80],"complexity,":[7],"limiting":[8],"the":[9,34,54,67],"source":[10],"separation":[11],"ability":[12],"of":[13,65,72],"traditional":[14],"approaches.":[15],"In":[16],"this":[17],"paper":[18],"we":[19],"propose":[20],"a":[21,49,63,77],"Deep":[22],"Learning-based":[23],"clustering":[24,38,73],"method,":[25],"which":[26],"encodes":[27],"concurrent":[28],"into":[30,57],"images,":[31],"and,":[32],"for":[33],"first":[35],"time,":[36],"tackles":[37],"with":[39,76],"image":[40],"segmentation.":[41],"Novel":[42],"loss":[43],"functions":[44],"are":[45],"introduced":[46],"to":[47,52],"optimize":[48],"Neural":[50,78],"Network":[51],"separate":[53],"input":[55],"pulses":[56],"pure":[58],"and":[59],"non-fragmented":[60],"clusters.":[61],"Outperforming":[62],"variety":[64],"baselines,":[66],"proposed":[68],"approach":[69],"is":[70],"capable":[71],"inputs":[74],"directly":[75],"Network,":[79],"an":[81],"end-to-end":[82],"fashion.":[83]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}