{"id":"https://openalex.org/W2963341393","doi":"https://doi.org/10.1109/euvip.2018.8611657","title":"Compressively Sensed Image Recognition","display_name":"Compressively Sensed Image Recognition","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963341393","doi":"https://doi.org/10.1109/euvip.2018.8611657","mag":"2963341393"},"language":"en","primary_location":{"id":"pmh:oai:air.unimi.it:2434/1099530","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/1099530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"},"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2434/1099530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Aslan, S.","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Aslan, S.","raw_affiliation_strings":["Tampere University of Technology, Laboratory of Signal Processing, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Laboratory of Signal Processing, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":23.9375,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.99574033,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6879271268844604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6801504492759705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6464477777481079},{"id":"https://openalex.org/keywords/pseudorandom-number-generator","display_name":"Pseudorandom number generator","score":0.638049840927124},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6349576711654663},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5962207913398743},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5932811498641968},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5815953016281128},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.478523850440979},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.47681114077568054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3356251120567322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25651633739471436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22757646441459656}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6879271268844604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6801504492759705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464477777481079},{"id":"https://openalex.org/C140642157","wikidata":"https://www.wikidata.org/wiki/Q1623338","display_name":"Pseudorandom number generator","level":2,"score":0.638049840927124},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6349576711654663},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5962207913398743},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5932811498641968},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5815953016281128},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.478523850440979},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.47681114077568054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3356251120567322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25651633739471436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22757646441459656},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:air.unimi.it:2434/1099530","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/1099530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"pmh:oai:iris.unive.it:10278/3732398","is_oa":false,"landing_page_url":"https://hdl.handle.net/10278/3732398","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/1099530","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/1099530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1828462930","https://openalex.org/W1956120499","https://openalex.org/W2015418199","https://openalex.org/W2024050645","https://openalex.org/W2038190601","https://openalex.org/W2083993605","https://openalex.org/W2111271723","https://openalex.org/W2120961178","https://openalex.org/W2126131432","https://openalex.org/W2147656689","https://openalex.org/W2154332973","https://openalex.org/W2507148354","https://openalex.org/W2517723848","https://openalex.org/W2526349169","https://openalex.org/W2537887767","https://openalex.org/W2548198050","https://openalex.org/W2566638343","https://openalex.org/W2578009003","https://openalex.org/W2759225077","https://openalex.org/W2962895431","https://openalex.org/W2963676935","https://openalex.org/W2979473749"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2988803943","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W3195404686","https://openalex.org/W2761785940"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"theory":[3],"asserts":[4],"that":[5,34,57,128],"sparse":[6],"signal":[7],"reconstruction":[8,44],"is":[9,38],"possible":[10,39],"from":[11,63,91],"a":[12,53,75,78,84],"small":[13],"number":[14],"of":[15,45,109,113,119],"linear":[16,22],"measurements.":[17,65],"Although":[18],"CS":[19,41,64,67],"enables":[20],"low-cost":[21],"sampling,":[23],"it":[24],"requires":[25],"non-linear":[26],"and":[27],"costly":[28],"reconstruction.":[29],"Recent":[30],"literature":[31],"works":[32],"show":[33,127],"compressive":[35],"image":[36],"classification":[37,99],"in":[40,135],"domain":[42],"without":[43],"the":[46,92,97,120,133],"signal.":[47],"In":[48],"this":[49],"work,":[50],"we":[51],"introduce":[52,103],"DCT":[54],"base":[55],"method":[56],"extracts":[58],"binary":[59,115],"discriminative":[60],"features":[61,116],"directly":[62],"These":[66],"measurements":[68],"can":[69],"be":[70],"obtained":[71],"by":[72,106],"using":[73],"(i)":[74],"random":[76],"or":[77,82],"pseudorandom":[79],"measurement":[80,85],"matrix,":[81],"(ii)":[83],"matrix":[86],"whose":[87],"elements":[88],"are":[89],"learned":[90],"training":[93],"data":[94],"to":[95],"optimize":[96],"given":[98],"task.":[100],"We":[101,126],"further":[102],"feature":[104,124,131],"fusion":[105],"concatenating":[107],"Bag":[108],"Words":[110],"(BoW)":[111],"representation":[112],"our":[114,129],"with":[117],"one":[118],"two":[121],"state-of-the-art":[122,134],"CNN-based":[123],"vectors.":[125],"fused":[130],"outperforms":[132],"both":[136],"cases.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2019-07-30T00:00:00"}
