Multi-aspect target classification and detection via the infinite hidden markov model
Publication
, Journal Article
Ni, K; Qi, Y; Carin, L
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
August 6, 2007
A new multi-aspect target detection method is presented based on the infinite hidden Markov model (iHMM). The scattering of waves from multiple targets 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 (HDP). Learning and inference for the iHMM are based on an effective Gibbs sampler. The framework is demonstrated using measured acoustic scattering data. © 2007 IEEE.
Duke Scholars
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
August 6, 2007
Volume
2
Citation
APA
Chicago
ICMJE
MLA
NLM
Ni, K., Qi, Y., & Carin, L. (2007). Multi-aspect target classification and detection via the infinite hidden markov model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2. https://doi.org/10.1109/ICASSP.2007.366265
Ni, K., Y. Qi, and L. Carin. “Multi-aspect target classification and detection via the infinite hidden markov model.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2 (August 6, 2007). https://doi.org/10.1109/ICASSP.2007.366265.
Ni K, Qi Y, Carin L. Multi-aspect target classification and detection via the infinite hidden markov model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2007 Aug 6;2.
Ni, K., et al. “Multi-aspect target classification and detection via the infinite hidden markov model.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2, Aug. 2007. Scopus, doi:10.1109/ICASSP.2007.366265.
Ni K, Qi Y, Carin L. Multi-aspect target classification and detection via the infinite hidden markov model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2007 Aug 6;2.
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
August 6, 2007
Volume
2