{"id":"https://openalex.org/W2531896461","doi":"https://doi.org/10.1007/s41095-016-0060-6","title":"Texture image classification with discriminative neural networks","display_name":"Texture image classification with discriminative neural networks","publication_year":2016,"publication_date":"2016-10-14","ids":{"openalex":"https://openalex.org/W2531896461","doi":"https://doi.org/10.1007/s41095-016-0060-6","mag":"2531896461"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-016-0060-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-016-0060-6.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-016-0060-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041567418","display_name":"Yang Song","orcid":"https://orcid.org/0000-0003-1283-1672"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yang Song","raw_affiliation_strings":["School of Information Technologies, the University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, the University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404130","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-7930-2145"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["School of Information Technologies, the University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, the University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["School of Information Technologies, the University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, the University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040512740","display_name":"Ju Jia Zou","orcid":"https://orcid.org/0000-0001-5091-7309"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ju Jia Zou","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["School of Information Technologies, the University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, the University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041567418"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":{"value":0,"currency":"USD","value_usd":0,"provenance":"doaj"},"apc_paid":null,"fwci":2.095,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":25,"citation_normalized_percentile":{"value":0.91454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":"2","issue":"4","first_page":"367","last_page":"377"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Shape Matching and Object Recognition","score":0.9992,"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/T10824","display_name":"Shape Matching and Object Recognition","score":0.9992,"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/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9937,"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/T10052","display_name":"Image Segmentation Techniques","score":0.9918,"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/discriminative-model","display_name":"Discriminative model","score":0.9013666},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6476006},{"id":"https://openalex.org/keywords/texture-analysis","display_name":"Texture Analysis","score":0.590561},{"id":"https://openalex.org/keywords/texture-classification","display_name":"Texture Classification","score":0.589372},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5762751},{"id":"https://openalex.org/keywords/feature-descriptors","display_name":"Feature Descriptors","score":0.548766},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image Segmentation","score":0.548177},{"id":"https://openalex.org/keywords/object-recognition","display_name":"Object Recognition","score":0.545617},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.52567273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4767759}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9013666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8242801},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.76995724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75565636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.727337},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6476006},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5762751},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.52567273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4767759},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46567413},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4626646},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44721934},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42571598},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42039254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37998438},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-016-0060-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-016-0060-6.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-016-0060-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-016-0060-6.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1484228140","https://openalex.org/W1548783750","https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1909952827","https://openalex.org/W1929034827","https://openalex.org/W1963882359","https://openalex.org/W1971240430","https://openalex.org/W1971877752","https://openalex.org/W2006516328","https://openalex.org/W2007521184","https://openalex.org/W2014801693","https://openalex.org/W2028501442","https://openalex.org/W2042970394","https://openalex.org/W2047643928","https://openalex.org/W2059552065","https://openalex.org/W2066941820","https://openalex.org/W2083866943","https://openalex.org/W2100495367","https://openalex.org/W2112020727","https://openalex.org/W2126833203","https://openalex.org/W2137570937","https://openalex.org/W2141376824","https://openalex.org/W2146622769","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2163352848","https://openalex.org/W2177066871","https://openalex.org/W2187483593","https://openalex.org/W2244861693","https://openalex.org/W2618530766","https://openalex.org/W2962835968","https://openalex.org/W2963239066","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W4205463238","https://openalex.org/W3103844505","https://openalex.org/W2965546495","https://openalex.org/W2761785940","https://openalex.org/W259157601","https://openalex.org/W2565656575","https://openalex.org/W2153315159","https://openalex.org/W2110523656","https://openalex.org/W1482209366"],"abstract_inverted_index":{"Texture":[0],"provides":[1],"an":[2,16,99],"important":[3],"cue":[4],"for":[5,105,121],"many":[6],"computer":[7],"vision":[8],"applications,":[9],"and":[10,65,119],"texture":[11,71,122],"image":[12,123],"classification":[13,69,107,130],"has":[14],"been":[15],"active":[17],"research":[18],"area":[19],"over":[20,45,132],"the":[21,36,59,88,106,133],"past":[22],"years.":[23],"Recently,":[24],"deep":[25],"learning":[26],"techniques":[27],"using":[28],"convolutional":[29],"neural":[30,80,102],"networks":[31,103],"(CNN)":[32],"have":[33,76],"emerged":[34],"as":[35],"state-of-the-art:":[37],"CNN-based":[38,63,89],"features":[39,64,90],"provide":[40],"a":[41,78],"significant":[42],"performance":[43,131],"improvement":[44],"previous":[46],"handcrafted":[47],"features.":[48],"In":[49,73],"this":[50],"study,":[51],"we":[52,55,75,111],"demonstrate":[53],"that":[54],"can":[56],"further":[57],"improve":[58],"discriminative":[60,79],"power":[61],"of":[62,70,101],"achieve":[66],"more":[67],"accurate":[68],"images.":[72],"particular,":[74],"designed":[77],"network-based":[81],"feature":[82],"transformation":[83],"(NFT)":[84],"method,":[85],"with":[86],"which":[87],"are":[91],"transformed":[92],"to":[93],"lower":[94],"dimensionality":[95],"descriptors":[96],"based":[97],"on":[98],"ensemble":[100],"optimized":[104],"objective.":[108],"For":[109],"evaluation,":[110],"used":[112],"three":[113],"standard":[114],"benchmark":[115],"datasets":[116],"(KTH-TIPS2,":[117],"FMD,":[118],"DTD)":[120],"classification.":[124],"Our":[125],"experimental":[126],"results":[127],"show":[128],"enhanced":[129],"state-of-the-art.":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2531896461","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2024-11-18T09:56:32.144217","created_date":"2016-10-21"}