{"id":"https://openalex.org/W2103229133","doi":"https://doi.org/10.1109/icmlc.2010.5581010","title":"Feature selection for blind steganalysis using localized generalization error model","display_name":"Feature selection for blind steganalysis using localized generalization error model","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2103229133","doi":"https://doi.org/10.1109/icmlc.2010.5581010","mag":"2103229133"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101970587","display_name":"Zhimin He","orcid":"https://orcid.org/0009-0006-4244-2538"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Min He","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006543313","display_name":"Daniel Yeung","orcid":"https://orcid.org/0000-0001-9397-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel S. Yeung","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78904577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1768","issue":null,"first_page":"500","last_page":"505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9980999827384949,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9884999990463257,"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/steganalysis","display_name":"Steganalysis","score":0.9885419607162476},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.811171293258667},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7900297045707703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7586644887924194},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7095117568969727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040265798568726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6823672652244568},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5953289866447449},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5524239540100098},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5328021049499512},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.485318124294281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36369746923446655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23583272099494934},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.16078728437423706}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9885419607162476},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.811171293258667},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7900297045707703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7586644887924194},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7095117568969727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040265798568726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6823672652244568},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5953289866447449},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5524239540100098},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5328021049499512},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.485318124294281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36369746923446655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23583272099494934},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.16078728437423706},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5581010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1518402653","https://openalex.org/W1538615315","https://openalex.org/W1570713908","https://openalex.org/W1589812914","https://openalex.org/W1760530029","https://openalex.org/W1806317803","https://openalex.org/W1875845630","https://openalex.org/W1971476226","https://openalex.org/W1972785987","https://openalex.org/W2007619679","https://openalex.org/W2015421233","https://openalex.org/W2049562124","https://openalex.org/W2066021566","https://openalex.org/W2068740952","https://openalex.org/W2080348090","https://openalex.org/W2103228545","https://openalex.org/W2105317222","https://openalex.org/W2106726851","https://openalex.org/W2116532908","https://openalex.org/W2119199090","https://openalex.org/W2151419026","https://openalex.org/W2155447586","https://openalex.org/W2171604354","https://openalex.org/W2576355915","https://openalex.org/W3161625325","https://openalex.org/W6638363521","https://openalex.org/W6670276908","https://openalex.org/W6676116939","https://openalex.org/W6682328124"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2792878404","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W3154843532"],"abstract_inverted_index":{"Steganalysis":[0],"is":[1,117],"a":[2,32,92,150],"technique":[3],"to":[4,104],"fight":[5],"against":[6],"steganography.":[7,30],"Different":[8],"kinds":[9,28],"of":[10,29,34,42,52,84,157,161],"feature":[11,36,71,93,109,123,138,146],"extraction":[12],"methods":[13],"have":[14,21,62],"been":[15],"proposed":[16,91,115,132,145],"for":[17,111],"blind":[18],"steganalysis.":[19,86],"They":[20],"their":[22],"own":[23],"advantages":[24],"when":[25],"attacking":[26],"different":[27,35],"Making":[31],"combination":[33],"sets":[37],"will":[38,48],"improve":[39],"the":[40,43,50,56,67,76,82,85,98,106,131,135,144],"performance":[41,83],"steganalysis":[44,112,142],"system.":[45,68,113],"However,":[46],"it":[47,60],"increase":[49],"dimensionality":[51],"features":[53,65],"largely":[54],"at":[55],"same":[57],"time.":[58],"Meanwhile,":[59],"may":[61],"many":[63],"irrelevant":[64],"in":[66],"A":[69],"proper":[70],"selection":[72,94,105,124,139,147],"method":[73,95,116,133,148],"could":[74],"decrease":[75],"computational":[77],"complexity":[78],"and":[79],"also":[80],"enhance":[81],"In":[87],"this":[88],"paper,":[89],"we":[90],"based":[96],"on":[97],"Localized":[99],"Generalization":[100],"Error":[101],"Model":[102],"(L-GEM)":[103],"most":[107],"relevant":[108],"subset":[110],"The":[114,126,141],"compared":[118],"with":[119,143],"two":[120,137],"other":[121,136],"off-the-shelf":[122],"methods.":[125,140],"experimental":[127],"results":[128],"show":[129],"that":[130,156],"outperforms":[134],"yields":[149],"higher":[151],"average":[152],"testing":[153],"accuracy":[154],"than":[155],"using":[158],"full":[159],"set":[160],"features.":[162]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}