{"id":"https://openalex.org/W2316618258","doi":"https://doi.org/10.1142/s0218001416540070","title":"Generation of Random Fields for Image Segmentation Using Manifold Learning Technique","display_name":"Generation of Random Fields for Image Segmentation Using Manifold Learning Technique","publication_year":2016,"publication_date":"2016-03-31","ids":{"openalex":"https://openalex.org/W2316618258","doi":"https://doi.org/10.1142/s0218001416540070","mag":"2316618258"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001416540070","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416540070","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5025986224","display_name":"Rambabu Pemula","orcid":"https://orcid.org/0000-0002-6565-2822"},"institutions":[{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rambabu Pemula","raw_affiliation_strings":["Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, Kakinada 533003, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-6565-2822","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, Kakinada 533003, Andhra Pradesh, India","institution_ids":["https://openalex.org/I142809039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050233273","display_name":"C. Nagaraju","orcid":"https://orcid.org/0000-0003-1617-6011"},"institutions":[{"id":"https://openalex.org/I83073037","display_name":"Yogi Vemana University","ror":"https://ror.org/0137gef36","country_code":"IN","type":"education","lineage":["https://openalex.org/I83073037"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Nagaraju","raw_affiliation_strings":["Department of Computer Science and Engineering, YSR Engineering College of Yogi Vemana University, Proddatur 516360, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, YSR Engineering College of Yogi Vemana University, Proddatur 516360, Andhra Pradesh, India","institution_ids":["https://openalex.org/I83073037"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025986224"],"corresponding_institution_ids":["https://openalex.org/I142809039"],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71198472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"30","issue":"10","first_page":"1654007","last_page":"1654007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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":0.996399998664856,"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/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.7442067265510559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6398127675056458},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.6246595978736877},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.601783037185669},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.589165449142456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5392590165138245},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5279905796051025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5278123617172241},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4795108139514923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3751058280467987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35489755868911743},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.18034154176712036}],"concepts":[{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.7442067265510559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6398127675056458},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.6246595978736877},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.601783037185669},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.589165449142456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5392590165138245},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5279905796051025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5278123617172241},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4795108139514923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3751058280467987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35489755868911743},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.18034154176712036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001416540070","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416540070","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W46198179","https://openalex.org/W80760317","https://openalex.org/W257331908","https://openalex.org/W1492498087","https://openalex.org/W1927486677","https://openalex.org/W1938245823","https://openalex.org/W2005334959","https://openalex.org/W2030676046","https://openalex.org/W2038988575","https://openalex.org/W2083542343","https://openalex.org/W2103380420","https://openalex.org/W2121947440","https://openalex.org/W2141075465","https://openalex.org/W2142366297","https://openalex.org/W2294233550","https://openalex.org/W2500307206","https://openalex.org/W2500481016","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2387045723","https://openalex.org/W117517268","https://openalex.org/W2573981081","https://openalex.org/W2397338926","https://openalex.org/W2970256865","https://openalex.org/W2085003924","https://openalex.org/W2384392227","https://openalex.org/W2380477800","https://openalex.org/W2142781195","https://openalex.org/W2888431323"],"abstract_inverted_index":{"The":[0,25],"manifold":[1,26,96],"learning":[2,9,27,97],"technique":[3,28],"is":[4,32,66],"a":[5,37,41,45,60,81],"class":[6],"of":[7,16,47,52,62,72],"machine":[8],"techniques":[10],"that":[11,54,65],"converts":[12],"the":[13,17,63],"intrinsic":[14],"geometry":[15],"data":[18],"from":[19],"higher":[20],"to":[21,34,68,84,106],"lower":[22,74],"dimensional":[23],"representation.":[24],"in":[29,40],"image":[30,90],"analysis":[31],"used":[33],"view":[35],"as":[36],"single":[38],"point":[39],"very":[42],"high-dimensional":[43],"space,":[44],"set":[46],"such":[48],"points":[49],"for":[50,89],"population":[51],"images":[53],"may":[55],"be":[56,69],"well":[57],"represented":[58],"by":[59],"sub-manifold":[61],"space":[64],"likely":[67],"nonlinear":[70],"and":[71,109],"significantly":[73],"dimensions.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"presented":[80],"new":[82],"method":[83,100],"generate":[85],"optimal":[86],"random":[87],"fields":[88],"segmentation":[91,103],"using":[92],"local":[93],"linear":[94],"embedding":[95],"technique.":[98],"This":[99],"gives":[101],"better":[102],"results":[104],"compared":[105],"entropy":[107],"classification":[108],"occlusion":[110],"reasoning":[111],"techniques.":[112]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
