A hierarchical classifier using new support vector machines for automatic target recognition.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 16087318.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
A binary hierarchical classifier is proposed for automatic target recognition. We also require rejection of non-object (non-target) inputs, which are not seen during training or validation, thus producing a very difficult problem. The SVRDM (support vector representation and discrimination machine) classifier is used at each node in the hierarchy, since it offers good generalization and rejection ability. Using this hierarchical SVRDM classifier with magnitude Fourier transform (|FT|) features, which provide shift-invariance, initial test results on infra-red (IR) data are excellent.
Medical subject headings
- Classification
- Neural Networks, Computer
- Pattern Recognition, Automated