{"id":"https://openalex.org/W2565716668","doi":"https://doi.org/10.1145/3009977.3010069","title":"Alternate formulation for transform learning","display_name":"Alternate formulation for transform learning","publication_year":2016,"publication_date":"2016-12-18","ids":{"openalex":"https://openalex.org/W2565716668","doi":"https://doi.org/10.1145/3009977.3010069","mag":"2565716668"},"language":"en","primary_location":{"id":"doi:10.1145/3009977.3010069","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3009977.3010069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5061490660","display_name":"Jyoti Maggu","orcid":"https://orcid.org/0000-0002-9729-5356"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jyoti Maggu","raw_affiliation_strings":["Indraprastha Institute of Information Technology, New Delhi"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology, New Delhi","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["Indraprastha Institute of Information Technology, New Delhi"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology, New Delhi","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061490660"],"corresponding_institution_ids":["https://openalex.org/I119939252"],"apc_list":null,"apc_paid":null,"fwci":2.1596,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86690261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/autoencoder","display_name":"Autoencoder","score":0.7579339742660522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724092423915863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6953426599502563},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.656329870223999},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6250401139259338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.580048680305481},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5477057695388794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5027048587799072},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5007510185241699},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44303250312805176},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4394386410713196},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43758314847946167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4231162667274475},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.41017335653305054}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7579339742660522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724092423915863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6953426599502563},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.656329870223999},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6250401139259338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.580048680305481},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5477057695388794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5027048587799072},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5007510185241699},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44303250312805176},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4394386410713196},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43758314847946167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4231162667274475},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.41017335653305054},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3009977.3010069","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3009977.3010069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1567856076","https://openalex.org/W1902027874","https://openalex.org/W1963932623","https://openalex.org/W1972715665","https://openalex.org/W1979347854","https://openalex.org/W1980454827","https://openalex.org/W1985552372","https://openalex.org/W1989833002","https://openalex.org/W1992405901","https://openalex.org/W1993260569","https://openalex.org/W1994197834","https://openalex.org/W2002932002","https://openalex.org/W2009006054","https://openalex.org/W2011464887","https://openalex.org/W2027805700","https://openalex.org/W2028781966","https://openalex.org/W2032768707","https://openalex.org/W2046704966","https://openalex.org/W2069724725","https://openalex.org/W2082855665","https://openalex.org/W2090042335","https://openalex.org/W2093238275","https://openalex.org/W2099866409","https://openalex.org/W2105464873","https://openalex.org/W2107214962","https://openalex.org/W2114147096","https://openalex.org/W2115429828","https://openalex.org/W2117882039","https://openalex.org/W2118057659","https://openalex.org/W2118505222","https://openalex.org/W2126534699","https://openalex.org/W2127271355","https://openalex.org/W2128638419","https://openalex.org/W2128659236","https://openalex.org/W2129638195","https://openalex.org/W2129812935","https://openalex.org/W2130951397","https://openalex.org/W2134332047","https://openalex.org/W2141039087","https://openalex.org/W2146047955","https://openalex.org/W2152171106","https://openalex.org/W2153315159","https://openalex.org/W2153663612","https://openalex.org/W2155231285","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2163398148","https://openalex.org/W2164595191","https://openalex.org/W2168668658","https://openalex.org/W2181347294","https://openalex.org/W2183376419","https://openalex.org/W2189938900","https://openalex.org/W2296616510","https://openalex.org/W2591973785","https://openalex.org/W2601530120","https://openalex.org/W2950967860","https://openalex.org/W2962896970","https://openalex.org/W3099751318","https://openalex.org/W3102105495","https://openalex.org/W3148714641","https://openalex.org/W4232823595","https://openalex.org/W4250955649","https://openalex.org/W4252959399","https://openalex.org/W6603054696","https://openalex.org/W6813159839"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3088732000","https://openalex.org/W2145836866","https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630"],"abstract_inverted_index":{"Dictionary":[0],"learning":[1,25,57,80,96],"has":[2],"been":[3],"used":[4],"to":[5,40],"solve":[6],"inverse":[7],"problems":[8],"in":[9,18,28],"imaging":[10],"and":[11,105,118],"as":[12,116],"an":[13,45,75],"unsupervised":[14],"feature":[15,34,64,111],"extraction":[16,35,65,112],"tool":[17],"vision.":[19],"The":[20,50,110],"main":[21],"disadvantage":[22],"of":[23,43,55],"dictionary":[24,101],"for":[26,78],"applications":[27],"vision":[29],"is":[30,114],"the":[31,41,83],"relatively":[32],"long":[33],"time":[36,113],"during":[37],"testing;":[38],"owing":[39],"requirement":[42],"solving":[44],"iterative":[46],"optimization":[47],"problem":[48],"(l0-minimization).":[49],"newly":[51],"developed":[52],"analysis":[53],"framework":[54],"transform":[56,79,95],"does":[58],"not":[59],"suffer":[60],"from":[61],"this":[62],"shortcoming;":[63],"only":[66],"requires":[67],"a":[68],"matrix":[69],"vector":[70],"multiplication.":[71],"This":[72],"work":[73],"proposes":[74],"alternate":[76],"formulation":[77],"that":[81,92],"improves":[82],"accuracy":[84],"even":[85],"further.":[86],"Experiments":[87],"on":[88],"benchmark":[89],"databases":[90],"show":[91],"our":[93],"proposed":[94],"yields":[97],"results":[98],"better":[99],"than":[100],"learning,":[102],"autoencoder":[103],"(AE)":[104],"restricted":[106],"Boltzmann":[107],"machine":[108],"(RBM).":[109],"fast":[115],"AE":[117],"RBM.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
