{"id":"https://openalex.org/W2593477888","doi":"https://doi.org/10.1109/acssc.2016.7869635","title":"Online kernel dictionary learning on a budget","display_name":"Online kernel dictionary learning on a budget","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2593477888","doi":"https://doi.org/10.1109/acssc.2016.7869635","mag":"2593477888"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2016.7869635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},"type":"article","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/A5071059792","display_name":"Jeon Lee","orcid":"https://orcid.org/0000-0002-9071-7157"},"institutions":[{"id":"https://openalex.org/I4388891891","display_name":"Southwestern Medical Center","ror":"https://ror.org/05d80e146","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4388891891"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"education","lineage":["https://openalex.org/I867280407"]},{"id":"https://openalex.org/I4210096815","display_name":"Southwestern Medical Center","ror":"https://ror.org/00t9vx427","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210096815"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeon Lee","raw_affiliation_strings":["Dept. of Cell Biology, UT Southwestern Medical Center, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Cell Biology, UT Southwestern Medical Center, USA","institution_ids":["https://openalex.org/I867280407","https://openalex.org/I4210096815","https://openalex.org/I4388891891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100678297","display_name":"Seung-Jun Kim","orcid":"https://orcid.org/0000-0002-5504-4997"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung-Jun Kim","raw_affiliation_strings":["Dept. of Computer Sci. & Electrical Eng., Univ. Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Sci. & Electrical Eng., Univ. Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071059792"],"corresponding_institution_ids":["https://openalex.org/I4210096815","https://openalex.org/I4388891891","https://openalex.org/I867280407"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80966877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1535","last_page":"1539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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":0.7963269352912903},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.7175245881080627},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7059083580970764},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6281835436820984},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6005617380142212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.558611273765564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5413884520530701},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5127402544021606},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5117852091789246},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.4858834147453308},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44430670142173767},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.41769498586654663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.384894996881485},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3117310404777527},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.26102179288864136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.234758198261261},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22564849257469177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1364753544330597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963269352912903},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.7175245881080627},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7059083580970764},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6281835436820984},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6005617380142212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558611273765564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5413884520530701},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5127402544021606},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5117852091789246},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.4858834147453308},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44430670142173767},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.41769498586654663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.384894996881485},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3117310404777527},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.26102179288864136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.234758198261261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22564849257469177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1364753544330597},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2016.7869635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1808256548","https://openalex.org/W1972377741","https://openalex.org/W1973914465","https://openalex.org/W1999174140","https://openalex.org/W2004465977","https://openalex.org/W2005876975","https://openalex.org/W2041970025","https://openalex.org/W2069959554","https://openalex.org/W2100659887","https://openalex.org/W2112447569","https://openalex.org/W2129812935","https://openalex.org/W2142848040","https://openalex.org/W2147733201","https://openalex.org/W2163112044","https://openalex.org/W2163398148","https://openalex.org/W2289005346","https://openalex.org/W2290137768","https://openalex.org/W2963527399","https://openalex.org/W4292022450","https://openalex.org/W6638482740","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2160392347","https://openalex.org/W3013206934","https://openalex.org/W1535136526","https://openalex.org/W4294351650","https://openalex.org/W3099811568","https://openalex.org/W2090782076","https://openalex.org/W2118190631","https://openalex.org/W1836142315","https://openalex.org/W1590832708","https://openalex.org/W2899532525"],"abstract_inverted_index":{"Online":[0],"kernel-based":[1,51],"dictionary":[2,63],"learning":[3,52],"(DL)":[4],"algorithms":[5,29],"are":[6,91],"considered,":[7],"which":[8,72],"perform":[9],"DL":[10,96],"on":[11,41],"training":[12,70],"data":[13],"lifted":[14],"to":[15,25,59,66,97],"a":[16,21],"high-dimensional":[17],"feature":[18],"space":[19],"via":[20],"nonlinear":[22],"mapping.":[23],"Compared":[24],"batch":[26],"versions,":[27],"online":[28,94],"require":[30],"low":[31],"computational":[32,78],"complexity,":[33],"essential":[34],"for":[35,80],"processing":[36],"the":[37,42,54,61,67,104,107],"Big":[38],"Data,":[39],"based":[40],"stochastic":[43],"gradient":[44],"descent":[45],"method.":[46],"However,":[47],"as":[48],"with":[49,93],"any":[50],"algorithms,":[53],"number":[55,68],"of":[56,69,106],"parameters":[57],"needed":[58],"represent":[60],"desired":[62],"is":[64],"equal":[65],"samples,":[71],"incurs":[73],"prohibitive":[74],"memory":[75],"requirement":[76],"and":[77,88],"complexity":[79],"large-scale":[81],"datasets.":[82],"In":[83],"this":[84,99],"work,":[85],"appropriate":[86],"sparsification":[87],"pruning":[89],"strategies":[90],"combined":[92],"kernel":[95],"mitigate":[98],"issue.":[100],"Numerical":[101],"tests":[102],"verify":[103],"efficacy":[105],"proposed":[108],"strategies.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}