State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition

Joos Vandewalle; Johan Suykens; Bart De Moor; Amaury Lendasse

doi:10.1109/ICASSP.2007.367308

State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition

Joos Vandewalle
, Johan Suykens
, Bart De Moor
, Amaury Lendasse

KU Leuven
Aalto University

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

Original language	English
Title of host publication	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Pages	IV1269-IV1272
DOIs	https://doi.org/10.1109/ICASSP.2007.367308
State	Published - 2007
Externally published	Yes
Event	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States Duration: Apr 15 2007 → Apr 20 2007

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
ISSN (Print)	1520-6149

Conference

Conference	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/Territory	United States
City	Honolulu, HI
Period	4/15/07 → 4/20/07

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

Identification
Pattern recognition
Prediction methods
Time series

Access to Document

10.1109/ICASSP.2007.367308

Cite this

Vandewalle, J., Suykens, J., De Moor, B., & Lendasse, A. (2007). State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. IV1269-IV1272). Article 4218339 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4). https://doi.org/10.1109/ICASSP.2007.367308

State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition. / Vandewalle, Joos; Suykens, Johan; De Moor, Bart et al.
2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. IV1269-IV1272 4218339 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4).

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

Vandewalle, J, Suykens, J, De Moor, B & Lendasse, A 2007, State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition. in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07., 4218339, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4, pp. IV1269-IV1272, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI, United States, 4/15/07. https://doi.org/10.1109/ICASSP.2007.367308

Vandewalle J, Suykens J, De Moor B, Lendasse A. State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. IV1269-IV1272. 4218339. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2007.367308

Vandewalle, Joos ; Suykens, Johan ; De Moor, Bart et al. / State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. pp. IV1269-IV1272 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition",

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KW - Pattern recognition

KW - Prediction methods

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State-of-the-art and evolution in public data sets and competitions for system identification, time series prediction and pattern recognition

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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