A generic sensor fusion problem: Classification and function estimation

Nageswara S.V. Rao

doi:10.1007/978-3-540-25966-4_2

A generic sensor fusion problem: Classification and function estimation

Nageswara S.V. Rao

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

19 Scopus citations

Abstract

A generic fusion problem is studied for multiple sensors whose outputs are probabilistically related to their inputs according to unknown distributions. Sensor measurements are provided as iid input-output samples, and an empirical risk minimization method is described for designing fusers with distribution-free performance bounds. The special cases of isolation and projective fusers for classifiers and function estimators, respectively, are described in terms of performance bounds. The isolation fusers for classifiers are probabilistically guaranteed to perform at least as good as the best classifier. The projective fusers for function estimators are probabilistically guaranteed to perform at least as good as the best subset of estimators.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Fabio Roli, Josef Kittler, Terry Windeatt
Publisher	Springer Verlag
Pages	16-30
Number of pages	15
ISBN (Print)	3540221441, 9783540221449
DOIs	https://doi.org/10.1007/978-3-540-25966-4_2
State	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3077
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-25966-4_2

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Rao, N. S. V. (2004). A generic sensor fusion problem: Classification and function estimation. In F. Roli, J. Kittler, & T. Windeatt (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 16-30). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3077). Springer Verlag. https://doi.org/10.1007/978-3-540-25966-4_2

Rao, Nageswara S.V. / A generic sensor fusion problem : Classification and function estimation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Fabio Roli ; Josef Kittler ; Terry Windeatt. Springer Verlag, 2004. pp. 16-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Rao, NSV 2004, A generic sensor fusion problem: Classification and function estimation. in F Roli, J Kittler & T Windeatt (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3077, Springer Verlag, pp. 16-30. https://doi.org/10.1007/978-3-540-25966-4_2

A generic sensor fusion problem: Classification and function estimation. / Rao, Nageswara S.V.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Fabio Roli; Josef Kittler; Terry Windeatt. Springer Verlag, 2004. p. 16-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3077).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Rao NSV. A generic sensor fusion problem: Classification and function estimation. In Roli F, Kittler J, Windeatt T, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 16-30. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-25966-4_2

A generic sensor fusion problem: Classification and function estimation

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