{"id":"https://openalex.org/W2141609920","doi":"https://doi.org/10.1109/ijcnn.2008.4634101","title":"Hyperparameters of Gaussian process as features for trajectory classification","display_name":"Hyperparameters of Gaussian process as features for trajectory classification","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2141609920","doi":"https://doi.org/10.1109/ijcnn.2008.4634101","mag":"2141609920"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5047539173","display_name":"G. Haranadh","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"G. Haranadh","raw_affiliation_strings":["Department of Computer science and Engineering, Indian Institute of Technology, Chennai, India","Department of Computer Science and Engineering, Indian Institute of Technology Madras"],"affiliations":[{"raw_affiliation_string":"Department of Computer science and Engineering, Indian Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113563423","display_name":"C. Chandra Sekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Chandra Sekhar","raw_affiliation_strings":["Department of Computer science and Engineering, Indian Institute of Technology, Chennai, India","Department of Computer Science and Engineering, Indian Institute of Technology Madras"],"affiliations":[{"raw_affiliation_string":"Department of Computer science and Engineering, Indian Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047539173"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17132216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"2195","last_page":"2199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hyperparameter","display_name":"Hyperparameter","score":0.9718263149261475},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.8136887550354004},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.767306923866272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691030263900757},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6570613384246826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5920401811599731},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5053865909576416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4890304505825043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4263383746147156},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42329180240631104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3465147316455841}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9718263149261475},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.8136887550354004},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.767306923866272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691030263900757},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6570613384246826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920401811599731},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5053865909576416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4890304505825043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4263383746147156},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42329180240631104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3465147316455841},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W108042927","https://openalex.org/W1746819321","https://openalex.org/W1852797747","https://openalex.org/W1925749859","https://openalex.org/W2102961496","https://openalex.org/W2104533781","https://openalex.org/W2137956165","https://openalex.org/W2169779569","https://openalex.org/W4211049957","https://openalex.org/W4285719527","https://openalex.org/W6604356175","https://openalex.org/W6991122698"],"related_works":["https://openalex.org/W2602382373","https://openalex.org/W3003615511","https://openalex.org/W3198113463","https://openalex.org/W4285827128","https://openalex.org/W2787698406","https://openalex.org/W2963844355","https://openalex.org/W4361251046","https://openalex.org/W98577079","https://openalex.org/W2141609920","https://openalex.org/W4286748465"],"abstract_inverted_index":{"In":[0,49],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,22,31,50,62,74,80,86],"trajectory":[6,27,72],"classification":[7,18,75],"problem":[8],"in":[9,79],"Gaussian":[10,15,35],"process":[11,16],"framework":[12],"without":[13],"using":[14],"based":[17],"directly.":[19],"Properties":[20],"of":[21,33,61,85],"function":[23],"corresponding":[24],"to":[25],"a":[26,34,71],"are":[28,44,55,66],"captured":[29],"into":[30],"hyperparameters":[32,43,65],"process.":[36],"As":[37],"different":[38,41,45,53],"trajectories":[39],"have":[40],"properties,":[42],"for":[46,57],"these":[47],"trajectories.":[48,63],"hyperparametric":[51,81],"space,":[52],"clusters":[54],"formed":[56],"noisy,":[58],"shifted":[59],"versions":[60],"The":[64],"used":[67],"as":[68],"features":[69],"representing":[70],"and":[73,94],"task":[76],"is":[77,89],"performed":[78],"space.":[82],"Classification":[83],"performance":[84],"proposed":[87],"method":[88],"evaluated":[90],"on":[91,96],"simulated":[92],"data":[93],"also":[95],"realworld":[97],"time":[98],"series":[99],"data.":[100]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
