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Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx328
Abstract: Motivation: For cluster analysis, high‐dimensional data are associated with instability, decreased classification accuracy and high‐computational burden. The latter challenge can be eliminated as a serious concern. For applications where dimension reduction techniques are not implemented,…
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Keywords:
reduction;
high dimensional;
dimensional clustering;
data reduction ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896784
Abstract: We propose a novel lossless data compression scheme for a high-speed communication system. Previous works have usually addressed the data compression issue within an identical plane by pure mathematical processing. Here, we convert the binary…
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Keywords:
data compression;
compression;
communication;
lossless data ... See more keywords
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Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3163245
Abstract: Reversible data hiding in ciphertext has potential applications for privacy protection and transmitting extra data in a cloud environment. For instance, an original plain-text image can be recovered from the encrypted image generated after data…
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Keywords:
hiding encrypted;
encrypted images;
homomorphic processing;
lossless data ... See more keywords
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Published in 2022 at "Micromachines"
DOI: 10.3390/mi13112029
Abstract: Lossless data compression is a crucial and computing-intensive application in data-centric scenarios. To reduce the CPU overhead, FPGA-based accelerators have been proposed to offload compression workloads. However, most existing schemes have the problem of an…
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Keywords:
data compression;
acceleration;
resource;
compression ... See more keywords