An unsupervised feature learning approach to improve automatic incident detection

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2012, Pages 172-177

  Ren, Jimmy S J ^a   Wang, Wei ^a   Wang, Jiawei ^b   Liao, Stephen ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b Suzhou Institute for Advanced Study   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC INCIDENT DETECTION; CLASSIFICATION ALGORITHM; DETECTION RATES; FALSE ALARM RATE; FEATURE LEARNING; FEATURE MAPPING; FEATURE REPRESENTATION; INCIDENT DATA; LABELED DATA; MEAN TIME TO DETECT; REPRESENTATIVE CASE; TEST SITE; TRANSPORTATION SYSTEM;

INTELLIGENT SYSTEMS; LEARNING ALGORITHMS;

CLASSIFICATION (OF INFORMATION);

EID: 84871229764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2012.6338621     Document Type: Conference Paper

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