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Published in 2020 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2020.106038
Abstract: Abstract A new superposition based multiple-image encryption using Fresnel-domain high dimension chaotic phase encoding is proposed. In this method, each color image of an authenticated user is decomposed into R, G, and B channels. The…
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Keywords:
phase;
image;
superposition based;
dimension chaotic ... See more keywords
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Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3422243
Abstract: Tensor spectral clustering (TSC) is a recently proposed approach to robustly group data into underlying clusters. Unlike the traditional spectral clustering (SC), which merely uses pairwise similarities of data in an affinity matrix, TSC aims…
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Keywords:
low sample;
dimension;
high dimension;
dimension low ... See more keywords
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Published in 2025 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2025.3633869
Abstract: While many visualizations are built for domain users (e.g., biologists, machine learning developers), understanding how visualizations are used in the domain has long been a challenging task. Previous research has relied on either interviewing a…
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Keywords:
visualization;
high dimension;
dimension data;
data visualization ... See more keywords
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Published in 2019 at "Photonics Research"
DOI: 10.1364/prj.7.000a27
Abstract: Quantum information protocols often rely on tomographic techniques to determine the state of the system. A popular method of encoding information is on the different paths a photon may take, e.g., parallel waveguides in integrated…
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Keywords:
state high;
state;
dimension experimental;
experimental tomography ... See more keywords