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Multiaspect target detection via the infinite hidden Markov model.

Publication ,  Journal Article
Ni, K; Qi, Y; Carin, L
Published in: The Journal of the Acoustical Society of America
May 2007

A new multiaspect target detection method is presented based on the infinite hidden Markov model (iHMM). The scattering of waves from a target is modeled as an iHMM with the number of underlying states treated as infinite, from which a full posterior distribution on the number of states associated with the targets is inferred and the target-dependent states are learned collectively. A set of Dirichlet processes (DPs) are used to define the rows of the HMM transition matrix and these DPs are linked and shared via a hierarchical Dirichlet process. Learning and inference for the iHMM are based on a Gibbs sampler. The basic framework is applied to a detailed analysis of measured acoustic scattering data.

Duke Scholars

Published In

The Journal of the Acoustical Society of America

DOI

EISSN

1520-8524

ISSN

0001-4966

Publication Date

May 2007

Volume

121

Issue

5 Pt1

Start / End Page

2731 / 2742

Related Subject Headings

  • Acoustics
 

Citation

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ICMJE
MLA
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Ni, K., Qi, Y., & Carin, L. (2007). Multiaspect target detection via the infinite hidden Markov model. The Journal of the Acoustical Society of America, 121(5 Pt1), 2731–2742. https://doi.org/10.1121/1.2714912
Ni, Kai, Yuting Qi, and Lawrence Carin. “Multiaspect target detection via the infinite hidden Markov model.The Journal of the Acoustical Society of America 121, no. 5 Pt1 (May 2007): 2731–42. https://doi.org/10.1121/1.2714912.
Ni K, Qi Y, Carin L. Multiaspect target detection via the infinite hidden Markov model. The Journal of the Acoustical Society of America. 2007 May;121(5 Pt1):2731–42.
Ni, Kai, et al. “Multiaspect target detection via the infinite hidden Markov model.The Journal of the Acoustical Society of America, vol. 121, no. 5 Pt1, May 2007, pp. 2731–42. Epmc, doi:10.1121/1.2714912.
Ni K, Qi Y, Carin L. Multiaspect target detection via the infinite hidden Markov model. The Journal of the Acoustical Society of America. 2007 May;121(5 Pt1):2731–2742.

Published In

The Journal of the Acoustical Society of America

DOI

EISSN

1520-8524

ISSN

0001-4966

Publication Date

May 2007

Volume

121

Issue

5 Pt1

Start / End Page

2731 / 2742

Related Subject Headings

  • Acoustics