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- W2105368049 abstract "In this paper, we propose a feature extraction method based on the Bhattacharyya distance for multimodal data. First, we estimate the classification error based on the Bhattacharyya distance between two multimodal classes that are approximated by a finite mixture of Gaussian distributions. Then we extract the features that minimize the estimated classification error. In order to find such features, we explore two search methods: sequential search and global search. Experiments show that the proposed feature extraction algorithm shows promising results." @default.
- W2105368049 created "2016-06-24" @default.
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- W2105368049 date "2002-11-13" @default.
- W2105368049 modified "2023-10-08" @default.
- W2105368049 title "Feature extraction based on the Bhattacharyya distance for multimodal data" @default.
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- W2105368049 doi "https://doi.org/10.1109/igarss.2001.976210" @default.
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