A hierarchical meta-classifier for human activity recognition

Anzah H. Niazi; Delaram Yazdansepas; Jennifer L. Gay; Frederick W. Maier; Lakshmish Ramaswamy; Khaled Rasheed; Matthew P. Buman

doi:10.1109/ICMLA.2016.16

A hierarchical meta-classifier for human activity recognition

Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	81-86
Number of pages	6
ISBN (Electronic)	9781509061662
DOIs	https://doi.org/10.1109/ICMLA.2016.16
State	Published - Jan 31 2017
Externally published	Yes
Event	15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016 - Anaheim, United States Duration: Dec 18 2016 → Dec 20 2016

Publication series

Name	Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016

Conference

Conference	15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
Country/Territory	United States
City	Anaheim
Period	12/18/16 → 12/20/16

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ICMLA.2016.16

Cite this

Niazi, A. H., Yazdansepas, D., Gay, J. L., Maier, F. W., Ramaswamy, L., Rasheed, K., & Buman, M. P. (2017). A hierarchical meta-classifier for human activity recognition. In Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016 (pp. 81-86). Article 7838126 (Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA.2016.16

A hierarchical meta-classifier for human activity recognition. / Niazi, Anzah H.; Yazdansepas, Delaram; Gay, Jennifer L. et al.
Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 81-86 7838126 (Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Niazi, AH, Yazdansepas, D, Gay, JL, Maier, FW, Ramaswamy, L, Rasheed, K & Buman, MP 2017, A hierarchical meta-classifier for human activity recognition. in Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016., 7838126, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 81-86, 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, United States, 12/18/16. https://doi.org/10.1109/ICMLA.2016.16

Niazi AH, Yazdansepas D, Gay JL, Maier FW, Ramaswamy L, Rasheed K et al. A hierarchical meta-classifier for human activity recognition. In Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 81-86. 7838126. (Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016). doi: 10.1109/ICMLA.2016.16

Niazi, Anzah H. ; Yazdansepas, Delaram ; Gay, Jennifer L. et al. / A hierarchical meta-classifier for human activity recognition. Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 81-86 (Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016).

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A hierarchical meta-classifier for human activity recognition

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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