{"id":"https://openalex.org/W2032435061","doi":"https://doi.org/10.1145/1631272.1631360","title":"Tensor distance based multilinear multidimensional scaling for image and video analysis","display_name":"Tensor distance based multilinear multidimensional scaling for image and video analysis","publication_year":2009,"publication_date":"2009-10-19","ids":{"openalex":"https://openalex.org/W2032435061","doi":"https://doi.org/10.1145/1631272.1631360","mag":"2032435061"},"language":"en","primary_location":{"id":"doi:10.1145/1631272.1631360","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631272.1631360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM international conference on Multimedia","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/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4242-4840"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yang Liu","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4242-4840"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100351175"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5971564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"577","last_page":"580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9904000163078308,"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":0.988099992275238,"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/multilinear-map","display_name":"Multilinear map","score":0.7983842492103577},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7040667533874512},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.6631180047988892},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5524430274963379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5481151342391968},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5137377977371216},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5074576735496521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4420399069786072},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.436001181602478},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41385650634765625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40917930006980896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3906360864639282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3407028317451477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33070695400238037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17123281955718994},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09514379501342773},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07663783431053162}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.7983842492103577},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7040667533874512},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.6631180047988892},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5524430274963379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481151342391968},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5137377977371216},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5074576735496521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4420399069786072},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.436001181602478},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41385650634765625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40917930006980896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3906360864639282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3407028317451477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33070695400238037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17123281955718994},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09514379501342773},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07663783431053162},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1631272.1631360","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631272.1631360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/39827","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/39827","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332603","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W16346066","https://openalex.org/W32702425","https://openalex.org/W1602102683","https://openalex.org/W2031049553","https://openalex.org/W2097366995","https://openalex.org/W2100659887","https://openalex.org/W2102544846","https://openalex.org/W2130278361","https://openalex.org/W2131335073","https://openalex.org/W2136040699","https://openalex.org/W2139927044","https://openalex.org/W2141200867","https://openalex.org/W2142431032","https://openalex.org/W2172253872","https://openalex.org/W3148981562","https://openalex.org/W4229749918","https://openalex.org/W4246354968","https://openalex.org/W6674755931"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W2922481674","https://openalex.org/W1552543208","https://openalex.org/W3177385724","https://openalex.org/W1572092093","https://openalex.org/W2074396517","https://openalex.org/W2893527900","https://openalex.org/W2166963679"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,19,29,74],"novel":[4],"dimensionality":[5,80],"reduction":[6],"technique":[7],"named":[8],"Tensor":[9,24],"Distance":[10,25],"based":[11,79],"Multilinear":[12],"Multidimensional":[13],"Scaling":[14],"(TD-MMDS).":[15],"First,":[16],"we":[17,38],"propose":[18],"new":[20],"distance":[21,68],"metric":[22],"called":[23],"(TD)":[26],"to":[27,43],"build":[28],"relationship":[30],"graph":[31],"of":[32,55,77,87,105],"data":[33,58,89],"points":[34],"with":[35],"high-order.":[36],"Then":[37],"employ":[39],"an":[40],"iterative":[41],"strategy":[42],"sequentially":[44],"learn":[45],"the":[46,56,60,84,91,103,106],"transformation":[47],"matrices":[48],"that":[49],"can":[50],"best":[51],"keep":[52],"pair-wise":[53],"TDs":[54],"high-order":[57,88],"in":[59],"low-dimensional":[61],"embedded":[62],"space.":[63],"By":[64],"integrating":[65],"both":[66],"tensor":[67,70,78],"and":[69,99],"embedding,":[71],"TD-MMDS":[72],"provides":[73],"uniform":[75],"framework":[76],"reduction,":[81],"which":[82],"preserves":[83],"intrinsic":[85],"structure":[86],"through":[90],"whole":[92],"learning":[93],"procedure.":[94],"Experiments":[95],"on":[96],"standard":[97],"image":[98],"video":[100],"datasets":[101],"validate":[102],"effectiveness":[104],"proposed":[107],"TD-MMDS.":[108]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
