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Efficacy and safety of three-dimensional printing technology assisted open reduction and internal fixation versus conventional surgery in the treatment of acetabular fractures: a meta-analysis of randomized controlled trials. [PDF]
Liu W+6 more
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Efficient face information encryption and verification scheme based on full homomorphic encryption. [PDF]
Chen Y+7 more
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Analysis of High-Dimensional Coordination in Human Movement Using Variance Spectrum Scaling and Intrinsic Dimensionality. [PDF]
Dotov D, Gu J, Hotor P, Spyra J.
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Zero inflated high dimensional compositional data with DeepInsight. [PDF]
Lee J, Kim B.
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2019
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
openaire +3 more sources
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
openaire +3 more sources
Dimensionality reduction and generalization
Proceedings of the 24th international conference on Machine learning, 2007In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning problems. We show that performing KPCA and then ordinary least squares on the projected data, a procedure known as kernel principal component regression (KPCR), is equivalent ...
MOSCI, SOFIA+2 more
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