{"id":"https://openalex.org/W2549858043","doi":"https://doi.org/10.1109/ijcnn.2016.7727761","title":"Sparse approximation on energy efficient hardware","display_name":"Sparse approximation on energy efficient hardware","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2549858043","doi":"https://doi.org/10.1109/ijcnn.2016.7727761","mag":"2549858043"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5052478827","display_name":"Kaitlin Fair","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaitlin L. Fair","raw_affiliation_strings":["Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, United States"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033437141","display_name":"David V. Anderson","orcid":"https://orcid.org/0000-0002-8571-4613"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David V. Anderson","raw_affiliation_strings":["Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, United States"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, United States","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052478827"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11774769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4302","last_page":"4307"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7551798820495605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7459348440170288},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.5963186025619507},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.49262601137161255},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.457946240901947},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4368378818035126},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.4303280711174011},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4244581162929535},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35990971326828003},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.332842618227005},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33168691396713257},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08281835913658142}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7551798820495605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459348440170288},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.5963186025619507},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.49262601137161255},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.457946240901947},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4368378818035126},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.4303280711174011},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4244581162929535},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35990971326828003},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.332842618227005},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33168691396713257},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08281835913658142},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W66442755","https://openalex.org/W1980454827","https://openalex.org/W1986931325","https://openalex.org/W1991693778","https://openalex.org/W1993565090","https://openalex.org/W1996287810","https://openalex.org/W2009702064","https://openalex.org/W2016278923","https://openalex.org/W2022240529","https://openalex.org/W2023722580","https://openalex.org/W2060956313","https://openalex.org/W2062102668","https://openalex.org/W2063978378","https://openalex.org/W2072357061","https://openalex.org/W2083042020","https://openalex.org/W2100543212","https://openalex.org/W2100556411","https://openalex.org/W2109449402","https://openalex.org/W2113642685","https://openalex.org/W2115706991","https://openalex.org/W2126607811","https://openalex.org/W2138913040","https://openalex.org/W2145096794","https://openalex.org/W2154332973","https://openalex.org/W2171534739","https://openalex.org/W2803670972","https://openalex.org/W2963689635","https://openalex.org/W3022380717","https://openalex.org/W3124114587","https://openalex.org/W4285719527","https://openalex.org/W6751236869"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W4253186488","https://openalex.org/W2044344400","https://openalex.org/W1996938127","https://openalex.org/W2083611981","https://openalex.org/W2072507639","https://openalex.org/W2065289416","https://openalex.org/W2017236304","https://openalex.org/W2115579119","https://openalex.org/W2136854845"],"abstract_inverted_index":{"Physically":[0],"and":[1],"computationally":[2],"efficient":[3],"hardware":[4],"coupled":[5],"with":[6],"fast":[7],"sparse":[8,66],"approximation":[9],"solvers":[10],"provide":[11],"opportunities":[12],"for":[13,80,101,103],"real-time":[14],"visual":[15],"processing":[16],"on":[17,33,49,73,95],"low-power":[18,28],"embedded":[19],"platforms.":[20],"This":[21,83],"paper":[22],"presents":[23],"a":[24,61],"system":[25],"using":[26,87],"the":[27,34,50,70,91,96,99],"Locally":[29],"Competitive":[30],"Algorithm":[31],"(LCA)":[32],"highly":[35],"programmable,":[36],"brain-inspired":[37],"IBM":[38],"TrueNorth":[39,51,74],"chip.":[40],"A":[41],"small-scale":[42],"spiking":[43],"LCA":[44,63,71],"network":[45],"is":[46,85],"successfully":[47],"implemented":[48,72],"chip,":[52,97],"resulting":[53],"in":[54,76],"node":[55],"dynamics":[56],"comparable":[57],"to":[58],"that":[59],"of":[60,90,106],"discretized":[62],"network.":[64],"The":[65],"representations":[67],"computed":[68],"by":[69],"result":[75],"minimal":[77],"reconstruction":[78],"error":[79],"every":[81],"trial.":[82],"performance":[84],"achieved":[86],"only":[88],"11":[89],"available":[92],"4096":[93],"cores":[94],"offering":[98],"potential":[100],"scalability":[102],"real-world":[104],"applications":[105],"this":[107],"system.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}