{"id":"https://openalex.org/W2053664690","doi":"https://doi.org/10.1109/isvlsi.2013.6654636","title":"Saliency-driven dynamic configuration of HMAX for energy-efficient multi-object recognition","display_name":"Saliency-driven dynamic configuration of HMAX for energy-efficient multi-object recognition","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2053664690","doi":"https://doi.org/10.1109/isvlsi.2013.6654636","mag":"2053664690"},"language":"en","primary_location":{"id":"doi:10.1109/isvlsi.2013.6654636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi.2013.6654636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100406377","display_name":"Sung-Ho Park","orcid":"https://orcid.org/0000-0002-5368-3242"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungho Park","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000192652","display_name":"Ahmed Al Maashri","orcid":"https://orcid.org/0000-0002-7018-5026"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Al Maashri","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055756196","display_name":"Xiao Yang","orcid":"https://orcid.org/0000-0003-4558-8947"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Xiao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020754609","display_name":"Kevin Irick","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin M. Irick","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101919131","display_name":"Vijaykrishnan Narayanan","orcid":"https://orcid.org/0000-0001-6266-6068"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijaykrishnan Narayanan","raw_affiliation_strings":["Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Pennsylvania State University, U.S.A","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University  University Park PA USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.8106,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68127352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"139","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.8077230453491211},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8042663335800171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7139536738395691},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7108955383300781},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6583870053291321},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6403371691703796},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.564437985420227},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5425475239753723},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5256636738777161},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5231850743293762},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5190621018409729},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5102424621582031},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5099753141403198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48765718936920166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44359099864959717},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4308403730392456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3524170219898224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11663579940795898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09477275609970093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077230453491211},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8042663335800171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7139536738395691},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7108955383300781},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6583870053291321},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6403371691703796},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.564437985420227},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5425475239753723},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5256636738777161},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5231850743293762},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5190621018409729},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5102424621582031},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5099753141403198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48765718936920166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44359099864959717},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4308403730392456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3524170219898224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11663579940795898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09477275609970093},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isvlsi.2013.6654636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi.2013.6654636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2004586880","https://openalex.org/W2018363491","https://openalex.org/W2021953155","https://openalex.org/W2070192690","https://openalex.org/W2115313253","https://openalex.org/W2117606586","https://openalex.org/W2129243715","https://openalex.org/W2138477671","https://openalex.org/W2139047169","https://openalex.org/W2149194912","https://openalex.org/W2157749802","https://openalex.org/W2171296417","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4283271085","https://openalex.org/W4387272257"],"abstract_inverted_index":{"Object":[0],"recognition":[1,79],"is":[2,141],"one":[3],"of":[4,17,57,60,64,90,98,103,114,146,152,167,173],"the":[5,61,88,111,123,150],"most":[6],"important":[7],"tasks":[8],"in":[9,26,69,155,193],"computer":[10],"vision":[11],"due":[12],"to":[13,23,39,45,86,136,149,189],"its":[14,47],"wide":[15],"variety":[16],"applications":[18],"from":[19],"small":[20],"hand-held":[21],"devices":[22],"surveillance":[24],"systems":[25],"large":[27,48,55],"public":[28],"facilities.":[29],"Even":[30],"though":[31],"biologically":[32,71],"inspired":[33,72],"approaches":[34],"have":[35],"been":[36],"recently":[37],"revealed":[38,160],"take":[40],"another":[41],"significant":[42],"step":[43],"forward":[44],"reduce":[46,138],"power":[49],"consumption,":[50],"it":[51],"still":[52],"consumes":[53],"relatively":[54],"amounts":[56],"energy":[58,126,139,168,194],"because":[59],"immense":[62],"amount":[63,89],"data":[65],"and":[66,119,128],"computations.":[67],"Typically":[68],"such":[70],"-":[73,77],"often":[74],"called":[75],"neuromorphic":[76,117],"object":[78],"implementations,":[80],"visual":[81,153],"saliency":[82,154],"feeds":[83],"feature":[84],"extraction":[85],"limit":[87],"computations":[91],"effectively":[92],"by":[93,143],"picking":[94],"a":[95,133,182],"pre-determined":[96],"size":[97],"patches":[99],"around":[100],"salient":[101],"locations":[102],"an":[104,156],"image.":[105],"In":[106,131],"this":[107],"work,":[108],"we":[109],"explore":[110],"design":[112],"space":[113],"HMAX":[115,147],"for":[116,176],"feature-extraction":[118],"classification":[120,129],"along":[121],"with":[122,170],"trade-off":[124],"between":[125],"consumption":[127,140],"accuracy.":[130],"addition,":[132],"novel":[134],"method":[135],"further":[137],"proposed":[142,183],"leveraging":[144],"effort-level":[145],"according":[148],"findings":[151],"efficient":[157],"manner.":[158],"Experiments":[159],"that":[161],"our":[162],"dynamic":[163],"configuration":[164],"achieved":[165],"70.57%":[166],"reduction":[169,192],"only":[171],"1.05%":[172],"accuracy":[174,188],"loss":[175],"accuracy-critical":[177],"applications.":[178],"For":[179],"energy-critical":[180],"applications,":[181],"configurations":[184],"trades":[185],"off":[186],"5.07%":[187],"gain":[190],"91.72%":[191],"consumption.":[195]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}