{"id":"https://openalex.org/W2119226531","doi":"https://doi.org/10.1109/icip.2008.4711913","title":"A supervised nonlinear neighborhood embedding of color histogram for image indexing","display_name":"A supervised nonlinear neighborhood embedding of color histogram for image indexing","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2119226531","doi":"https://doi.org/10.1109/icip.2008.4711913","mag":"2119226531"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]},{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Xian-Hua Han","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","Electronics & Information Engineering School, Central South University of Forestry and Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Electronics & Information Engineering School, Central South University of Forestry and Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003580341","display_name":"Takeshi Sukegawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeshi Sukegawa","raw_affiliation_strings":["Remixpoint Company Limited, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Remixpoint Company Limited, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086851360"],"corresponding_institution_ids":["https://openalex.org/I119273862","https://openalex.org/I135768898","https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.4048,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83747851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"c842","issue":null,"first_page":"949","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9890999794006348,"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":0.9815000295639038,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7277481555938721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6921926736831665},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.678602397441864},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.628916323184967},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5892178416252136},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5511196255683899},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4782068729400635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4767887592315674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4489686191082001},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4295910894870758},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39604127407073975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33278733491897583}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7277481555938721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6921926736831665},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.678602397441864},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.628916323184967},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5892178416252136},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5511196255683899},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4782068729400635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4767887592315674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4489686191082001},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4295910894870758},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39604127407073975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33278733491897583},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4711913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1510604416","https://openalex.org/W2012352340","https://openalex.org/W2125148312","https://openalex.org/W2154872931","https://openalex.org/W2914885528","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394"],"abstract_inverted_index":{"Subspace":[0],"learning":[1,121],"techniques":[2,16],"are":[3,17,34],"widespread":[4],"in":[5],"pattern":[6],"recognition":[7],"research.":[8],"They":[9],"include":[10],"PCA,":[11],"ICA,":[12],"LPP,":[13],"etc.":[14],"These":[15],"generally":[18],"linear":[19,117],"and":[20,30,80],"unsupervised.":[21],"The":[22],"problem":[23],"of":[24,63,76,85,97],"image":[25,39,65,100],"indexing":[26],"is":[27],"very":[28],"complicated":[29],"the":[31,60,64,69,74,82,86,98,112],"processed":[32],"images":[33],"usually":[35],"lie":[36],"on":[37],"non-linear":[38],"subspaces.":[40],"In":[41,68],"this":[42],"paper,":[43],"we":[44,72],"propose":[45],"a":[46,94],"supervised":[47],"nonlinear":[48,56,77,99],"neighborhood":[49,61,83,106],"embedding":[50],"algorithm":[51],"which":[52],"learns":[53],"an":[54],"adaptive":[55],"subspace":[57,120],"by":[58],"preserving":[59,81],"structure":[62,84],"color":[66],"space.":[67],"proposed":[70,113],"algorithm,":[71],"combine":[73],"idea":[75],"kernel":[78],"mapping":[79],"samples,":[87],"so":[88],"it":[89],"can":[90],"not":[91],"only":[92],"gain":[93],"perfect":[95],"approximation":[96],"manifold,":[101],"but":[102],"also":[103],"enhance":[104],"within-class":[105],"information.":[107],"Experimental":[108],"results":[109],"show":[110],"that":[111],"method":[114],"outperform":[115],"other":[116],"or":[118],"unsupervised":[119],"methods.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}