{"id":"https://openalex.org/W2293002956","doi":"https://doi.org/10.1109/icip.2015.7351450","title":"Features we trust!","display_name":"Features we trust!","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293002956","doi":"https://doi.org/10.1109/icip.2015.7351450","mag":"2293002956"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5081398085","display_name":"Amir Rahimi","orcid":"https://orcid.org/0000-0002-4851-150X"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir M. Rahimi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042091237","display_name":"Lakshmanan Nataraj","orcid":"https://orcid.org/0000-0002-4510-7237"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lakshmanan Nataraj","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071938464","display_name":"B.S. Manjunath","orcid":"https://orcid.org/0000-0003-2804-3611"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B.S. Manjunath","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"3476","last_page":"3480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7304289937019348},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6638178825378418},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6605789661407471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6545944213867188},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.6082266569137573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5925440788269043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5588346719741821},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5574482083320618},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.5066612362861633},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46699467301368713},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4656083881855011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3414774239063263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3376525640487671},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.263563334941864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23708295822143555}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7304289937019348},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6638178825378418},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6605789661407471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545944213867188},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.6082266569137573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5925440788269043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5588346719741821},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5574482083320618},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.5066612362861633},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46699467301368713},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4656083881855011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3414774239063263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3376525640487671},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.263563334941864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23708295822143555},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1606858007","https://openalex.org/W1622484071","https://openalex.org/W1904365287","https://openalex.org/W1978110853","https://openalex.org/W1980459279","https://openalex.org/W1988790447","https://openalex.org/W2012592962","https://openalex.org/W2022508996","https://openalex.org/W2081293863","https://openalex.org/W2100805904","https://openalex.org/W2165232124","https://openalex.org/W2165874743","https://openalex.org/W2166713160","https://openalex.org/W2787894218","https://openalex.org/W2887002214","https://openalex.org/W2911964244","https://openalex.org/W6636412649","https://openalex.org/W6636475756","https://openalex.org/W6640036494","https://openalex.org/W6966931237"],"related_works":["https://openalex.org/W2592997798","https://openalex.org/W2011251309","https://openalex.org/W2150969560","https://openalex.org/W65845428","https://openalex.org/W2344132714","https://openalex.org/W2385117199","https://openalex.org/W2975604236","https://openalex.org/W1993729825","https://openalex.org/W3022655582","https://openalex.org/W197206975"],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,38,63,68,123],"problem":[3],"of":[4,40,74,117,122],"image":[5],"classification":[6],"within":[7,45,98],"a":[8,71,79],"supervised":[9],"learning":[10],"framework":[11],"that":[12],"exploits":[13],"implicit":[14],"mutual":[15,96],"information":[16,97],"in":[17],"different":[18],"visual":[19,32],"features":[20,33],"and":[21,90,101],"their":[22],"associated":[23],"classifiers.":[24],"In":[25,67],"our":[26],"proposed":[27],"two":[28],"stage":[29],"hierarchical":[30],"processing,":[31],"are":[34,56,93],"first":[35],"clustered":[36],"with":[37,120],"objective":[39],"maximizing":[41],"diversity.":[42,52],"Majority":[43],"vote":[44],"each":[46,99],"cluster":[47,100],"is":[48,76],"used":[49],"to":[50,61],"enforce":[51],"Many":[53],"partitioning":[54],"variations":[55],"evaluated":[57],"using":[58,78],"K-nearest":[59],"neighbor":[60],"obtain":[62],"highest":[64],"inter-cluster":[65],"entropy.":[66],"second":[69],"step,":[70],"richer":[72],"measure":[73],"discrimination":[75],"obtained":[77],"fully":[80],"connected":[81],"conditional":[82],"random":[83],"fields":[84],"(CRF)":[85],"over":[86,95,107],"clusters.":[87],"The":[88],"unary":[89],"interaction":[91],"potentials":[92],"defined":[94],"inter-dependencies":[102],"across":[103],"clusters":[104],"respectively.":[105],"Experimenting":[106],"five":[108],"distinct":[109],"datasets,":[110],"we":[111],"demonstrate":[112],"an":[113],"average":[114],"performance":[115],"gain":[116],"30%":[118],"compared":[119],"state":[121],"art":[124],"techniques.":[125]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}