{"id":"https://openalex.org/W2080712811","doi":"https://doi.org/10.1109/hpcsim.2013.6641476","title":"Sparse Support Vector Machine for pattern recognition","display_name":"Sparse Support Vector Machine for pattern recognition","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2080712811","doi":"https://doi.org/10.1109/hpcsim.2013.6641476","mag":"2080712811"},"language":"en","primary_location":{"id":"doi:10.1109/hpcsim.2013.6641476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2013.6641476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on High Performance Computing &amp; Simulation (HPCS)","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/A5088257057","display_name":"Guangyi Chen","orcid":"https://orcid.org/0000-0001-7542-5378"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Guangyi Chen","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qc, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qc, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101511820","display_name":"Tien D. Bui","orcid":"https://orcid.org/0000-0001-6005-4375"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tien. D. Bui","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qc, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qc, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046164638","display_name":"Adam Krzy\u017cak","orcid":"https://orcid.org/0000-0003-0766-2659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Adam Krzyzak","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qc, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qc, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088257057"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14310384,"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":"601","last_page":"606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9961000084877014,"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/T10057","display_name":"Face and Expression Recognition","score":0.9961000084877014,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926000237464905,"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/support-vector-machine","display_name":"Support vector machine","score":0.9103174209594727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7628787755966187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6976638436317444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912219524383545},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6465552449226379},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6015565395355225},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5927425622940063},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5876288414001465},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5101757049560547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46421292424201965},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.41990113258361816},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4138338565826416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16392600536346436}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9103174209594727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7628787755966187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6976638436317444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912219524383545},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6465552449226379},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6015565395355225},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5927425622940063},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5876288414001465},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5101757049560547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46421292424201965},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.41990113258361816},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4138338565826416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16392600536346436},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcsim.2013.6641476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2013.6641476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on High Performance Computing &amp; Simulation (HPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1483393136","https://openalex.org/W1545790492","https://openalex.org/W1976689962","https://openalex.org/W1978072831","https://openalex.org/W2020695971","https://openalex.org/W2071927195","https://openalex.org/W2088253945","https://openalex.org/W2098691629","https://openalex.org/W2109804663","https://openalex.org/W2115405325","https://openalex.org/W2116057693","https://openalex.org/W2237445422","https://openalex.org/W4247375763","https://openalex.org/W4300142895","https://openalex.org/W6668472278"],"related_works":["https://openalex.org/W2683383161","https://openalex.org/W2119118554","https://openalex.org/W2352397209","https://openalex.org/W2528215262","https://openalex.org/W4291214623","https://openalex.org/W1948992892","https://openalex.org/W2384390720","https://openalex.org/W4253128984","https://openalex.org/W3147637501","https://openalex.org/W2394447189"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine":[2],"(SVM)":[3],"is":[4,90],"one":[5],"of":[6,37,52],"the":[7,13,22,25,34,38,50,60,70,75],"most":[8],"famous":[9],"classification":[10,67],"techniques":[11],"in":[12,21,82,92],"pattern":[14,94],"recognition":[15,95],"community.":[16],"However,":[17],"due":[18,73],"to":[19,28,59,74],"outliers":[20],"training":[23],"samples,":[24],"SVM":[26,39,72],"tend":[27],"be":[29],"over-trained.":[30],"This":[31],"means":[32],"that":[33,86],"generalization":[35],"ability":[36],"will":[40],"decrease":[41],"for":[42],"further":[43],"training.":[44],"In":[45],"this":[46,83],"paper,":[47],"we":[48],"borrow":[49],"idea":[51],"compressive":[53],"sensing/sparse":[54],"representation":[55],"and":[56],"apply":[57],"it":[58],"SVM.":[61],"Our":[62],"method":[63],"can":[64],"achieve":[65],"higher":[66],"rates":[68],"than":[69],"standard":[71],"sparser":[76],"support":[77],"vectors.":[78],"Experimental":[79],"results":[80],"conducted":[81],"paper":[84],"show":[85],"our":[87],"proposed":[88],"technique":[89],"feasible":[91],"practical":[93],"applications.":[96]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
