{"type":"ScholarlyArticle","title":"Boosting Face Identification in Airports","authors":[{"name":"Jimmy Jiang Liu","slug":"jimmy-jiang-liu","given":"Jimmy Jiang","family":"Liu","affiliation":"National University of Singapore , School of Computing , Science Drive 2 , Singapore 117559 , Republic of Singapore"},{"name":"Kia-Fock Loe","slug":"kia-fock-loe","given":"Kia-Fock","family":"Loe","affiliation":"National University of Singapore , School of Computing , Science Drive 2 , Singapore 117559 , Republic of Singapore"}],"abstract":"Robust face identification system in complex airport environment, which can identify certain candidates from a crowd of people in real time, is in urgent demand. S-AdaBoost is discussed in this paper as a variant of AdaBoost to handle real world environment. The Face Identification Sys tem for Airports (FISA), based upon SAdaBoost algorithm, is implemented in an international airport. Comparison of results obtained from FISA with those from other leading face identification approaches based on FISA database clearly demonstrates the effectiveness ofFISA in real airport environment.","doi":null,"url":"https://ijcai.org/proceedings/2003/251","pdf":"https://ijcai.org/proceedings/2003/0251.pdf","markdown":"https://ijcai.org/proceedings/2003/251.md","bibtex":"https://ijcai.org/proceedings/2003/bibtex/251","volume":{"slug":"2003","title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2003","url":"https://ijcai.org/proceedings/2003/","year":2003,"location":"Acapulco, Mexico","dates":"","editors":"Georg Gottlob","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":251,"pages":{"first":1503,"last":1503},"keywords":[],"videos":[],"references":[{"position":1,"raw":"[Dietterich, 2000] Dietterich T. G. (2000) An experimental comparison of three methods for constructing ensembl es of decision trees: Bagging, boosting, and randomization . Mac hine Learning, 40 (2) pp . 139-158","title":"An experimental comparison of three methods for constructing ensembl es of decision trees: Bagging, boosting, and randomization","authors":"T G Dietterich","year":"2000","venue":"Mac hine Learning","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"Freund and Schapire 1996]","title":null,"authors":"Schapire Freund","year":"1996","venue":null,"doi":null,"url":null,"internal_url":null},{"position":3,"raw":"Freund, Y., R. E. Schapire. ( 1996) Experiment with a new boosting algorithm, Machine Learn ing: proceeding of the 13'd International conference, pp. 148-156","title":"Experiment with a new boosting algorithm","authors":"Y Freund, R E Schapire","year":"1996","venue":"Machine Learn ing: proceeding of the 13'd International conference","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Freund , 1999] Freund, Y. ( 1999) An Adaptive Version of the Boost by Majority Algorithm. Proceedings of the Twelfth Annual Conference on Computational Learning Theory [Friedman et a!., 1998]","title":"An Adaptive Version of the Boost by Majority Algorithm","authors":"Y Freund","year":"1998","venue":"Proceedings of the Twelfth Annual Conference on Computational Learning Theory [Friedman et a!","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"Jerome Friedman, Trevor Hastie, and Robert Tibshirani (1998). Additive logistic regression: a statistical view of boosting. Stanford University Techni cal Report.","title":"Additive logistic regression: a statistical view of boosting","authors":"Jerome Friedman, Trevor Hastie, Robert Tibshirani","year":"1998","venue":null,"doi":null,"url":null,"internal_url":null},{"position":6,"raw":"Riitsch, et a!., 2001)","title":null,"authors":"! Riitsch","year":"2001","venue":null,"doi":null,"url":null,"internal_url":null},{"position":7,"raw":"G. Riitsch, T. Onoda, and K.-R. Mi.ill er (200 I). Soft margins for AdaBoost. Machine Learning Journal, 42(3) :287-320, March. Kluwer Academic Publishers [Wyner eta!., 200 I]","title":"Soft margins for AdaBoost","authors":"G Riitsch, T Onoda, K.-R Mi","year":null,"venue":"Machine Learning Journal","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"Abraham Wyner, Abba Kriege and Chuan Long Boosting Noisy Data. Proceeding of 8 1 h ICML","title":"Boosting Noisy Data","authors":"Abraham Wyner, Abba Kriege, Chuan Long","year":null,"venue":"Proceeding of 8 1 h ICML","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}