首页|Tensor-based Big Biometric Data Reduction in Cloud
Tensor-based Big Biometric Data Reduction in Cloud
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NETL
NSTL
IEEE
When dealing with big biometric data, data reduction becomes a challenge. This article proposes a novel big biometric data reduction solution in the cloud environment, including a big biometric data reduction approach based on tensor decomposition, an incremental big biometric tensor reduction approach, and a secure big biometric data reduction approach, which can significantly reduce big biometric data.
Tensile stressBioinformaticsMatrix decompositionCloud computingSparse matricesDistributed databasesSingular value decomposition
Jun Feng、Laurence T. Yang、Ronghao Zhang
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Huazhong University of Science and Technology and Shenzhen Huazhong University of Science and Technology Research Institute
Huazhong University of Science and Technology, Shenzhen Huazhong University of Science and Technology Research Institute and St. Francis Xavier University
NETL
NSTL
IEEE
