{"id":"https://openalex.org/W3000667402","doi":"https://doi.org/10.1109/ivcnz48456.2019.8961027","title":"The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets","display_name":"The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3000667402","doi":"https://doi.org/10.1109/ivcnz48456.2019.8961027","mag":"3000667402"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz48456.2019.8961027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz48456.2019.8961027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5037470604","display_name":"Damien O\u2019Neill","orcid":"https://orcid.org/0000-0002-3423-752X"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Damien O\u2019Neill","raw_affiliation_strings":["Victoria University of Wellington,Wellington,New Zealand","Victoria University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Victoria University of Wellington,Wellington,New Zealand","Victoria University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mengjie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington,Wellington,New Zealand","Victoria University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037470604"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.2043,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56749046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6931271553039551},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6921935081481934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6914153099060059},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5810463428497314},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.5468841791152954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5011494159698486},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4917447865009308},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4858941435813904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46855980157852173},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4627957344055176},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43746837973594666},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4116027355194092},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38328033685684204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3821617364883423},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2426776885986328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18910261988639832},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.06678161025047302}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6931271553039551},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6921935081481934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6914153099060059},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5810463428497314},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.5468841791152954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5011494159698486},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4917447865009308},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4858941435813904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46855980157852173},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4627957344055176},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43746837973594666},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4116027355194092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38328033685684204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3821617364883423},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2426776885986328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18910261988639832},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.06678161025047302},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz48456.2019.8961027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz48456.2019.8961027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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":24,"referenced_works":["https://openalex.org/W183625566","https://openalex.org/W1522440472","https://openalex.org/W1538131130","https://openalex.org/W1559956479","https://openalex.org/W1836465849","https://openalex.org/W2052958516","https://openalex.org/W2075779886","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2107878631","https://openalex.org/W2156387975","https://openalex.org/W2194775991","https://openalex.org/W2885311373","https://openalex.org/W2949117887","https://openalex.org/W2963446712","https://openalex.org/W2964212578","https://openalex.org/W3118608800","https://openalex.org/W4320013936","https://openalex.org/W6632100814","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6682889407","https://openalex.org/W6753278433","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2117632582","https://openalex.org/W4388347373"],"abstract_inverted_index":{"Image":[0],"classification":[1,87],"is":[2],"a":[3,61],"task":[4],"in":[5,14],"which":[6,43],"convolutional":[7,31],"neural":[8,32],"networks":[9],"hold":[10],"state-of-the-art":[11,21],"results.":[12],"DenseNets,":[13,75],"particular,":[15],"have":[16,38],"been":[17],"shown":[18],"to":[19,72,98],"provide":[20],"results":[22,105],"with":[23,29],"reduced":[24,90],"model":[25,41],"complexity":[26],"when":[27],"compared":[28],"other":[30],"network":[33],"structures.":[34],"However,":[35],"DenseNets":[36,48,84],"themselves":[37],"opportunities":[39],"for":[40,67],"simplification,":[42],"can":[44],"not":[45],"only":[46],"make":[47],"smaller,":[49],"but":[50],"also":[51],"improve":[52],"the":[53,86,91],"accuracy":[54,88],"of":[55,93],"resulting":[56],"networks.":[57],"This":[58],"work":[59],"develops":[60],"novel":[62],"genetic":[63],"algorithm,":[64],"Matrix":[65],"Evolution":[66],"sparse":[68],"Dense":[69],"Blocks":[70],"(ME-SDB),":[71],"find":[73],"such":[74],"by":[76,96],"removing":[77],"unneeded":[78],"connections":[79],"within":[80],"DenseNets.":[81],"Our":[82],"Sparse":[83],"improved":[85],"and":[89],"number":[92],"trainable":[94],"parameters":[95],"up":[97],"33%":[99],"on":[100,106],"CIFAR10,":[101],"while":[102],"providing":[103],"promising":[104],"CIFAR100.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2020-01-23T00:00:00"}