Tensor Locality Preserving Sparse Projection for Image Feature Extraction
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DOI: 10.1007/s11063-017-9674-7
Abstract: Manifold learning is a hot topic in feature extraction, wherein high-dimensional data is represented in a potential low-dimensional manifold. In this paper, a novel manifold-learning method called tensor locality preserving sparse projection (TLPSP) is proposed,… read more here.
Keywords: locality preserving; sparse projection; locality; feature extraction ... See more keywords
Variable selection for Gaussian process regression through a sparse projection
Sign Up to like & getrecommendations! Published in 2020 at "IISE Transactions"
DOI: 10.1080/24725854.2021.1959965
Abstract: Abstract This article presents a new variable selection approach integrated with Gaussian process regression. We consider a sparse projection of input variables and a general stationary covariance model that depends on the Euclidean distance between… read more here.
Keywords: approach; variable selection; gaussian process; sparse projection ... See more keywords