{"id":"https://openalex.org/W2075972321","doi":"https://doi.org/10.1109/icip.2014.7026197","title":"Learning a compact latent representation of the Bag-of-Parts model","display_name":"Learning a compact latent representation of the Bag-of-Parts model","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2075972321","doi":"https://doi.org/10.1109/icip.2014.7026197","mag":"2075972321"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5089828993","display_name":"Xiaozhi Chen","orcid":"https://orcid.org/0009-0009-3064-6201"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaozhi Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101439467","display_name":"Huimin Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Ma","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089828993"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60089262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5926","last_page":"5930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7696654796600342},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7047402858734131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311246156692505},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5767650008201599},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.5576865077018738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5532693266868591},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5248087644577026},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.507552981376648},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4974994957447052},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46684321761131287},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43198686838150024},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4132949113845825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36835843324661255},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.13383254408836365},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.13236716389656067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11876943707466125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08871862292289734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696654796600342},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7047402858734131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311246156692505},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5767650008201599},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.5576865077018738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5532693266868591},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5248087644577026},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.507552981376648},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4974994957447052},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46684321761131287},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43198686838150024},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4132949113845825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36835843324661255},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.13383254408836365},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.13236716389656067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11876943707466125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08871862292289734},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7026197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W82130502","https://openalex.org/W1590510366","https://openalex.org/W2020733616","https://openalex.org/W2033832873","https://openalex.org/W2037227137","https://openalex.org/W2132914434","https://openalex.org/W2147800946","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2169177311","https://openalex.org/W2535410496","https://openalex.org/W6603374121","https://openalex.org/W6635258101","https://openalex.org/W6684872329"],"related_works":["https://openalex.org/W2408288218","https://openalex.org/W1998194172","https://openalex.org/W2364411737","https://openalex.org/W2169100202","https://openalex.org/W2831349703","https://openalex.org/W2585047804","https://openalex.org/W2757799924","https://openalex.org/W2125574651","https://openalex.org/W2170664148","https://openalex.org/W1589362500"],"abstract_inverted_index":{"The":[0,62],"Bag-of-Parts":[1],"(BoP)":[2],"model,":[3],"which":[4],"employs":[5],"distinctive":[6],"parts":[7],"to":[8,39,78],"represent":[9],"images,":[10],"has":[11],"shown":[12],"superior":[13],"performance":[14,110],"in":[15,29,84],"vision":[16],"recognition":[17],"tasks.":[18],"Our":[19],"work":[20],"is":[21,65,92],"motivated":[22],"by":[23,53,94],"the":[24,80,105],"need":[25],"of":[26,31],"reducing":[27],"redundancy":[28],"tens":[30],"thousands":[32],"parts.":[33],"We":[34,49],"propose":[35],"a":[36,41,58,68],"novel":[37],"method":[38],"learn":[40],"compact":[42],"latent":[43,81],"representation":[44,107],"from":[45],"redundant":[46],"part":[47],"responses.":[48],"address":[50],"this":[51],"problem":[52],"employing":[54],"spectral":[55],"clustering":[56],"and":[57,72,89],"multi-column":[59],"coding":[60],"scheme.":[61],"BoP":[63],"model":[64,71],"viewed":[66],"as":[67],"multi-scale":[69],"convolutional":[70],"additional":[73],"sparse":[74,95],"autoencoders":[75],"are":[76],"used":[77],"infer":[79],"patterns":[82],"embedded":[83],"high-dimensional":[85],"part-based":[86],"representations.":[87],"Spatial":[88],"semantic":[90],"information":[91],"preserved":[93],"learning":[96],"on":[97,114],"multiple":[98],"spatial":[99],"regions":[100],"individually.":[101],"Experiments":[102],"demonstrate":[103],"that":[104],"learnt":[106],"achieves":[108],"competitive":[109],"with":[111],"state-of-the-art":[112],"methods":[113],"PASCAL":[115],"VOC":[116],"2007":[117],"dataset.":[118]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}