{"id":"https://openalex.org/W2102630415","doi":"https://doi.org/10.1145/1015330.1015371","title":"Generative modeling for continuous non-linearly embedded visual inference","display_name":"Generative modeling for continuous non-linearly embedded visual inference","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2102630415","doi":"https://doi.org/10.1145/1015330.1015371","mag":"2102630415"},"language":"en","primary_location":{"id":"doi:10.1145/1015330.1015371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1015330.1015371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twenty-first international conference on Machine learning  - ICML '04","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/A5007658897","display_name":"Cristian Sminchisescu","orcid":"https://orcid.org/0000-0001-5256-886X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Cristian Sminchisescu","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada","* University of Toronto, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"* University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084837026","display_name":"Allan Jepson","orcid":"https://orcid.org/0000-0003-1036-6404"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Allan Jepson","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada","* University of Toronto, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"* University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007658897"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":14.0693,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.99167357,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9955000281333923,"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/inference","display_name":"Inference","score":0.6947211027145386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540143489837646},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5908364057540894},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.576659083366394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5439874529838562},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.539030134677887},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4666559398174286},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4396446645259857},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4105963408946991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36143365502357483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3546932339668274},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.34672144055366516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3339487314224243}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6947211027145386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540143489837646},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5908364057540894},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.576659083366394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5439874529838562},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.539030134677887},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4666559398174286},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4396446645259857},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4105963408946991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36143365502357483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3546932339668274},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.34672144055366516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3339487314224243},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1015330.1015371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1015330.1015371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twenty-first international conference on Machine learning  - ICML '04","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.1954","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.toronto.edu/~crismin/PAPERS/icml04.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.89.2695","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.2695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.toronto.edu/pub/reports/csrg/484/tr484.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W116703061","https://openalex.org/W1984568490","https://openalex.org/W1999250663","https://openalex.org/W2001141328","https://openalex.org/W2006262794","https://openalex.org/W2053186076","https://openalex.org/W2098479385","https://openalex.org/W2098813977","https://openalex.org/W2099913338","https://openalex.org/W2099947851","https://openalex.org/W2104356402","https://openalex.org/W2121005842","https://openalex.org/W2135046866","https://openalex.org/W2136877925","https://openalex.org/W2144124341","https://openalex.org/W2150627493","https://openalex.org/W2153934661","https://openalex.org/W2153992777","https://openalex.org/W2156287497","https://openalex.org/W2156718197","https://openalex.org/W2156838815","https://openalex.org/W2161406034","https://openalex.org/W2165874743"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W4365211920","https://openalex.org/W3014948380"],"abstract_inverted_index":{"Many":[0],"difficult":[1,32],"visual":[2,82],"perception":[3],"problems,":[4,72],"like":[5],"3D":[6,157],"human":[7,135,158],"motion":[8,159],"estimation,":[9],"can":[10,103],"be":[11,37,104],"formulated":[12],"in":[13,40,160],"terms":[14],"of":[15,52,58,120,156],"inference":[16,78],"using":[17,106],"complex":[18],"generative":[19,96,145],"models,":[20],"defined":[21],"over":[22],"high-dimensional":[23,53],"state":[24,100],"spaces.":[25,90],"Despite":[26],"progress,":[27],"optimizing":[28],"such":[29],"models":[30,146],"is":[31],"because":[33],"prior":[34,112],"knowledge":[35],"cannot":[36],"flexibly":[38],"integrated":[39],"order":[41],"to":[42,84],"reshape":[43],"an":[44],"initially":[45],"designed":[46],"representation":[47],"space.":[48],"Nonlinearities,":[49],"inherent":[50],"sparsity":[51],"training":[54],"sets,":[55],"and":[56,65,77,125,138,152],"lack":[57],"global":[59],"continuity":[60],"makes":[61],"dimensionality":[62],"reduction":[63],"challenging":[64],"low-dimensional":[66,89,121],"search":[67],"inefficient.":[68],"To":[69],"address":[70],"these":[71],"we":[73],"present":[74],"a":[75,94,116],"learning":[76],"algorithm":[79,142],"that":[80,102,140,147],"restricts":[81],"tracking":[83,151],"automatically":[85],"extracted,":[86],"non-linearly":[87],"embedded,":[88],"This":[91],"formulation":[92],"produces":[93],"layered":[95],"model":[97],"with":[98],"reduced":[99,132],"representation,":[101],"estimated":[105],"efficient":[107],"continuous":[108,144],"optimization":[109],"methods.":[110],"Our":[111],"flattening":[113],"method":[114],"allows":[115,126],"simple":[117],"analytic":[118],"treatment":[119],"intrinsic":[122],"curvature":[123],"constraints,":[124],"consistent":[127],"interpolation":[128],"operations.":[129],"We":[130],"analyze":[131],"manifolds":[133],"for":[134,150,153],"interaction":[136],"activities,":[137],"demonstrate":[139],"the":[141,154],"learns":[143],"are":[148],"useful":[149],"reconstruction":[155],"monocular":[161],"video.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
