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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3150984
Abstract: Due to the end-to-end feature learning with convolutional neural networks (CNNs), modern discriminative trackers improve the state of the art significantly. To achieve a strong discrimination, the learned features are usually high-dimensional, resulting in a…
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Keywords:
dynamic orthogonal;
constrained discriminative;
discriminative model;
projection constrained ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3150263
Abstract: Spectral unmixing plays a vital role in hyperspectral image analysis. It mainly consists of two procedures, i.e., endmember extraction and abundance estimation. Although most algorithms for each of the two procedures may exhibit good performance,…
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Keywords:
matrix;
projection;
abundance;
endmember ... See more keywords
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Published in 2022 at "Axioms"
DOI: 10.3390/axioms11100544
Abstract: Point orthogonal projection onto an algebraic surface is a very important topic in computer-aided geometric design and other fields. However, implementing this method is currently extremely challenging and difficult because it is difficult to achieve…
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Keywords:
orthogonal polynomial;
orthogonal projection;
algebraic surface;
point ... See more keywords