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- W2766151911 abstract "The accuracy of regression based on hyperspectral data is degraded by a restricted number of labeled data and the curse of dimensionality inherent in the high-dimensional feature space. In this paper, we propose two types of semi-supervised manifold learning methods for regression by a combination of supervised learning based on a small number of labeled data and unsupervised learning based on abundant unlabeled feature data. The regression and nonlinear manifold learning are realized by a kernelization of generalized eigenvalue problems. The proposed methods are applied to synthetic manifold learning problems and time-series hyperspectral leaf-scale images of oak trees." @default.
- W2766151911 created "2017-11-10" @default.
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- W2766151911 date "2014-06-01" @default.
- W2766151911 modified "2023-10-16" @default.
- W2766151911 title "Semi-supervised manifold learning of time-series hyperspectral forest images" @default.
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- W2766151911 doi "https://doi.org/10.1109/whispers.2014.8077505" @default.
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