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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Zhang Xuejun Liao Dura, E. Carin, L. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA (Yan Zhang; Xuejun Liao; Dura, E.; Carin, L.) |
| Abstract | An information-theoretic approach is developed for target detection, with active training set selection, directly from the site-specific measured data. For the proposed kernel-based algorithm, a set of basis functions to characterize the signature distribution of the site are defined first; then we determine a parsimonious set of data, for which knowledge of the associated labels would be most informative to determine the weights for the basis functions. Both of them utilize the Fisher information criteria. The proposed framework is applied to subsurface target detection, with example results presented for an actual buried unexploded ordnance site. |
| File Size | 402194 |
| File Format | |
| ISBN | 0780384849 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2004.1327148 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-17 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Underwater tracking Algorithm design and analysis Support vector machines Information theory Sonar detection Electric variables measurement Landmine detection Soil Classification algorithms |
| Content Type | Text |
| Resource Type | Article |
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