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- W2169921635 abstract "In this paper we develop a confidence measure that can determine if a given set of samples is suitable for inclusion in the reconstruction of a higher resolution dataset. The confidence measure is formulated as a weighted combination of two well defined objective functions. We discuss the scope of the confidence measure and the two key factors that affect it: (i) non-uniformity of the samples and (ii) error in temporal registration. We also present a greedy iterative rank-based method that uses the confidence measure for reconstruction from multiple sample sets. The proposed method is evaluated with real video, audio and MRI data." @default.
- W2169921635 created "2016-06-24" @default.
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- W2169921635 date "2008-03-01" @default.
- W2169921635 modified "2023-09-25" @default.
- W2169921635 title "A confidence measure and iterative rank-based method for temporal registration" @default.
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- W2169921635 doi "https://doi.org/10.1109/icassp.2008.4517853" @default.
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