Klishin et al., 2023 - Google Patents
Data-induced interactions of sparse sensorsKlishin et al., 2023
View PDF- Document ID
- 9368668941439232725
- Author
- Klishin A
- Kutz J
- Manohar K
- Publication year
- Publication venue
- arXiv preprint arXiv:2307.11838
External Links
Snippet
Large-dimensional empirical data in science and engineering frequently has low-rank structure and can be represented as a combination of just a few eigenmodes. Because of this structure, we can use just a few spatially localized sensor measurements to reconstruct …
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
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