{"id":"https://openalex.org/W3216708997","doi":null,"title":"Distributional Feature Mapping in Data Classification","display_name":"Distributional Feature Mapping in Data Classification","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3216708997","mag":"3216708997"},"language":"en","primary_location":{"id":"pmh:oai:https://spectrum.library.concordia.ca:986531","doi":null,"is_oa":true,"landing_page_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","pdf_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","source":{"id":"https://openalex.org/S4306400871","display_name":"Spectrum Research Repository (Concordia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60158472","host_organization_name":"Concordia University","host_organization_lineage":["https://openalex.org/I60158472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004897585","display_name":"Md. Hafizr Rahman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Md. Hafizr Rahman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5004897585"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.26170000433921814,"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":"Image Retrieval and Classification Techniques","score":0.26170000433921814,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.21619999408721924,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.06440000236034393,"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/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.8849999904632568},{"id":"https://openalex.org/keywords/generalized-dirichlet-distribution","display_name":"generalized Dirichlet distribution","score":0.8809999823570251},{"id":"https://openalex.org/keywords/dirichlet-multinomial-distribution","display_name":"Dirichlet-multinomial distribution","score":0.9599999785423279},{"id":"https://openalex.org/keywords/proportional-data","display_name":"proportional data","score":0.7210000157356262},{"id":"https://openalex.org/keywords/count-data","display_name":"count data","score":0.9950000047683716},{"id":"https://openalex.org/keywords/probability-simplex","display_name":"probability simplex","score":0.7799999713897705},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.5590000152587891},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8989999890327454},{"id":"https://openalex.org/keywords/natural-scene-recognition","display_name":"natural scene recognition","score":0.800000011920929},{"id":"https://openalex.org/keywords/satellite-image-classification","display_name":"satellite image classification","score":0.9980000257492065},{"id":"https://openalex.org/keywords/gender-classification","display_name":"gender classification","score":0.9079999923706055},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"facial expression recognition","score":1.0},{"id":"https://openalex.org/keywords/human-action-recognition","display_name":"human action recognition","score":0.9829999804496765},{"id":"https://openalex.org/keywords/object-tracking","display_name":"object tracking","score":0.9890000224113464}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.697974681854248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520806550979614},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.6435762643814087},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5269445180892944},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5117201805114746},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4918098747730255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47762173414230347},{"id":"https://openalex.org/C52290693","wikidata":"https://www.wikidata.org/wiki/Q5532435","display_name":"Generalized Dirichlet distribution","level":5,"score":0.4706776738166809},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.46353721618652344},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.4208475947380066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40847885608673096},{"id":"https://openalex.org/C96234433","wikidata":"https://www.wikidata.org/wiki/Q5280760","display_name":"Dirichlet's energy","level":4,"score":0.16476276516914368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1082196831703186},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.09606993198394775},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:https://spectrum.library.concordia.ca:986531","doi":null,"is_oa":true,"landing_page_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","pdf_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","source":{"id":"https://openalex.org/S4306400871","display_name":"Spectrum Research Repository (Concordia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60158472","host_organization_name":"Concordia University","host_organization_lineage":["https://openalex.org/I60158472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:3216708997","doi":null,"is_oa":false,"landing_page_url":"https://spectrum.library.concordia.ca/id/eprint/986531/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:https://spectrum.library.concordia.ca:986531","doi":null,"is_oa":true,"landing_page_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","pdf_url":"https://spectrum.library.concordia.ca/986531/1/Rahman_MASc_S2020.pdf","source":{"id":"https://openalex.org/S4306400871","display_name":"Spectrum Research Repository (Concordia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60158472","host_organization_name":"Concordia University","host_organization_lineage":["https://openalex.org/I60158472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3216708997.pdf","grobid_xml":"https://content.openalex.org/works/W3216708997.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W190008395","https://openalex.org/W207560109","https://openalex.org/W584423923","https://openalex.org/W1424443765","https://openalex.org/W1488217336","https://openalex.org/W1502922572","https://openalex.org/W1531760878","https://openalex.org/W1560306350","https://openalex.org/W1560724230","https://openalex.org/W1579877966","https://openalex.org/W1579978635","https://openalex.org/W1648279381","https://openalex.org/W1677409904","https://openalex.org/W1755205674","https://openalex.org/W1969462276","https://openalex.org/W1976921161","https://openalex.org/W1977766639","https://openalex.org/W1983249544","https://openalex.org/W1984767505","https://openalex.org/W1984914017","https://openalex.org/W1985367615","https://openalex.org/W2000930721","https://openalex.org/W2001983900","https://openalex.org/W2011275121","https://openalex.org/W2016854189","https://openalex.org/W2034090215","https://openalex.org/W2034328688","https://openalex.org/W2034693520","https://openalex.org/W2040075763","https://openalex.org/W2055325763","https://openalex.org/W2060003092","https://openalex.org/W2062692054","https://openalex.org/W2081301924","https://openalex.org/W2089961441","https://openalex.org/W2089973420","https://openalex.org/W2090050657","https://openalex.org/W2100916003","https://openalex.org/W2101234009","https://openalex.org/W2103605202","https://openalex.org/W2106353342","https://openalex.org/W2107034620","https://openalex.org/W2119479037","https://openalex.org/W2119486225","https://openalex.org/W2122598626","https://openalex.org/W2132103241","https://openalex.org/W2134249892","https://openalex.org/W2135346934","https://openalex.org/W2139212933","https://openalex.org/W2139242328","https://openalex.org/W2140190241","https://openalex.org/W2143668817","https://openalex.org/W2145889472","https://openalex.org/W2146766088","https://openalex.org/W2147898188","https://openalex.org/W2151103935","https://openalex.org/W2157285748","https://openalex.org/W2157788863","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2266950115","https://openalex.org/W2328145002","https://openalex.org/W2426031434","https://openalex.org/W2470394683","https://openalex.org/W2474599091","https://openalex.org/W2514287041","https://openalex.org/W2592228903","https://openalex.org/W2597016113","https://openalex.org/W2769240066","https://openalex.org/W2783449424","https://openalex.org/W2805655769","https://openalex.org/W2920815048","https://openalex.org/W2970693372","https://openalex.org/W2998027361","https://openalex.org/W3008035954","https://openalex.org/W3114039679","https://openalex.org/W3125612102","https://openalex.org/W3210232381"],"related_works":["https://openalex.org/W3117110315","https://openalex.org/W3111620335","https://openalex.org/W3114039679","https://openalex.org/W3008035954","https://openalex.org/W2023615744","https://openalex.org/W2119447781","https://openalex.org/W2060994933","https://openalex.org/W1988452864","https://openalex.org/W120442876","https://openalex.org/W3201592903"],"abstract_inverted_index":{"Performance":[0],"of":[1,10,58,66,155,177,200,209,216,229],"a":[2,48,185],"machine":[3,125],"learning":[4,71,152],"algorithm":[5],"depends":[6],"on":[7,87,190],"the":[8,11,25,56,59,63,67,108,116,156,197,201,213,217,221,227],"representation":[9,21,189,199],"input":[12,41,279],"data.":[13],"In":[14,147],"computer":[15],"vision":[16,126],"problems,":[17],"histogram":[18,198],"based":[19,86,231],"feature":[20,44,188,232],"has":[22],"significantly":[23],"improved":[24],"classification":[26],"tasks.":[27],"L1":[28],"normalized":[29],"histograms":[30],"can":[31,100],"be":[32,101],"modelled":[33],"by":[34,226],"Dirichlet":[35,94,98,160,249,265,269],"and":[36,61,95,141,161,250,267],"related":[37,162],"distributions":[38,99,163,179,271],"to":[39,43,106,166,170,274],"transform":[40],"space":[42],"space.":[45],"We":[46,183],"propose":[47,184],"mapping":[49,79,233],"technique":[50,80,118,240],"that":[51,115],"contains":[52],"prior":[53],"knowledge":[54],"about":[55],"distribution":[57,230],"data":[60,83,121,195,243,263],"increases":[62,122],"discriminative":[64],"power":[65],"classifiers":[68],"in":[69,145,149,180,220],"supervised":[70],"such":[72,128,178],"as":[73,129],"Support":[74],"Vector":[75],"Machine":[76],"(SVM).":[77],"The":[78],"for":[81,119,124,187,193,234,241,261],"proportional":[82,120,194,235],"which":[84],"is":[85,257],"Dirichlet,":[88,90,246],"Generalized":[89],"Beta":[91,252],"Liouville,":[92],"scaled":[93,97],"shifted":[96],"incorporated":[102],"with":[103,278],"traditional":[104],"kernels":[105,110],"improve":[107],"base":[109],"accuracy.":[111],"Experimental":[112],"results":[113],"show":[114],"proposed":[117],"accuracy":[123],"tasks":[127],"natural":[130],"scene":[131],"recognition,":[132],"satellite":[133],"image":[134],"classification,":[135,137],"gender":[136],"facial":[138],"expression":[139],"recognition":[140,144],"human":[142],"action":[143],"videos.":[146],"addition,":[148],"object":[150,158,181,203,219],"tracking,":[151],"parametric":[153],"features":[154,215,277],"target":[157,202,218],"using":[159],"may":[164],"help":[165],"capture":[167],"representations":[168],"invariant":[169],"noise.":[171],"This":[172],"further":[173],"motivated":[174],"our":[175],"study":[176],"tracking.":[182],"framework":[186],"probability":[191],"simplex":[192],"utilizing":[196,244],"at":[204],"initial":[205],"frame.":[206],"A":[207],"set":[208],"parameter":[210],"vectors":[211],"determine":[212],"appearance":[214],"subsequent":[222],"frames.":[223],"\\n":[224],"\\nMotivated":[225],"success":[228],"data,":[236],"we":[237],"extend":[238],"this":[239],"semi-bounded":[242],"inverted":[245,248,251],"generalized":[247,268],"Liouville":[253],"distributions.":[254],"Similar":[255],"approach":[256],"taken":[258],"into":[259],"account":[260],"count":[262],"where":[264],"multinomial":[266,270],"are":[272],"used":[273],"map":[275],"density":[276],"features.":[280]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-12-06T00:00:00"}
