{"id":"https://openalex.org/W2282969739","doi":"https://doi.org/10.1007/978-3-319-24489-1_11","title":"Kernel Feature Maps from Arbitrary Distance Metrics","display_name":"Kernel Feature Maps from Arbitrary Distance Metrics","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2282969739","doi":"https://doi.org/10.1007/978-3-319-24489-1_11","mag":"2282969739"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24489-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-24489-1_11","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/A5101819568","display_name":"Markus Schneider","orcid":"https://orcid.org/0000-0003-0543-2593"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]},{"id":"https://openalex.org/I24227732","display_name":"University of Applied Sciences Ravensburg-Weingarten","ror":"https://ror.org/00s4rmz74","country_code":"DE","type":"education","lineage":["https://openalex.org/I24227732"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Markus Schneider","raw_affiliation_strings":["Institute for Artificial Intelligence, Ravensburg-Weingarten University of Applied Sciences, Weingarten, Germany","Institute of Neural Information Processing, University of Ulm, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Ravensburg-Weingarten University of Applied Sciences, Weingarten, Germany","institution_ids":["https://openalex.org/I24227732"]},{"raw_affiliation_string":"Institute of Neural Information Processing, University of Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016544515","display_name":"Wolfgang Ertel","orcid":"https://orcid.org/0009-0005-8967-3766"},"institutions":[{"id":"https://openalex.org/I24227732","display_name":"University of Applied Sciences Ravensburg-Weingarten","ror":"https://ror.org/00s4rmz74","country_code":"DE","type":"education","lineage":["https://openalex.org/I24227732"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Ertel","raw_affiliation_strings":["Institute for Artificial Intelligence, Ravensburg-Weingarten University of Applied Sciences, Weingarten, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Ravensburg-Weingarten University of Applied Sciences, Weingarten, Germany","institution_ids":["https://openalex.org/I24227732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104754338","display_name":"G\u00fcnther Palm","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"G\u00fcnther Palm","raw_affiliation_strings":["Institute of Neural Information Processing, University of Ulm, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, University of Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101819568"],"corresponding_institution_ids":["https://openalex.org/I196349391","https://openalex.org/I24227732"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3732,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5525012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.6420858502388},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6412694454193115},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5828126668930054},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5059136748313904},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4956916570663452},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.4827955961227417},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.46374616026878357},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44768500328063965},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.4367515444755554},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.43179407715797424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4253387749195099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4178895950317383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29564380645751953},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13487845659255981},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12525460124015808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6420858502388},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6412694454193115},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5828126668930054},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5059136748313904},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4956916570663452},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.4827955961227417},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.46374616026878357},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44768500328063965},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.4367515444755554},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.43179407715797424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4253387749195099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4178895950317383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29564380645751953},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13487845659255981},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12525460124015808},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-24489-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-24489-1_11","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1572772830","https://openalex.org/W1587559447","https://openalex.org/W1605479404","https://openalex.org/W1698155719","https://openalex.org/W1751437809","https://openalex.org/W1964357740","https://openalex.org/W1971703391","https://openalex.org/W1986007546","https://openalex.org/W1993436046","https://openalex.org/W2002355073","https://openalex.org/W2008056655","https://openalex.org/W2078483536","https://openalex.org/W2105527258","https://openalex.org/W2109235804","https://openalex.org/W2118563516","https://openalex.org/W2123395972","https://openalex.org/W2129875280","https://openalex.org/W2132870739","https://openalex.org/W2133324003","https://openalex.org/W2142623206","https://openalex.org/W2144902422","https://openalex.org/W2157801062","https://openalex.org/W2163352848","https://openalex.org/W2167081989","https://openalex.org/W2550999537","https://openalex.org/W3141455185","https://openalex.org/W4205606066","https://openalex.org/W4211049957","https://openalex.org/W6631126600"],"related_works":["https://openalex.org/W2127229869","https://openalex.org/W2420851703","https://openalex.org/W1603091392","https://openalex.org/W2004333127","https://openalex.org/W2095626363","https://openalex.org/W3123056048","https://openalex.org/W4389251307","https://openalex.org/W2165576085","https://openalex.org/W2079825755","https://openalex.org/W4386075310"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
