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Subspace learning plays a key role in pattern recognition and machine learning. However, its performance would be degraded when data are corrupted by various occlusions. Low-rank representation (LRR) can recover the corrupted data and explore low-dimensional subspace structures embedded in data. Inspired by low-rank representation and subspace learning, in this paper, we propose a regularized low-rank...
An approach to establish 3D strata model from DEM, borehole, section map, geological map, is presented. In the first step, cross-section is converted into virtual boreholes by discretization processing, and therefore modeling data source is unified to borehole data. The second step is to define the template TIN using boreholes and border of research area, and adjust the template TIN using DEM and...
Measurement data for the complex permittivity of seawater at 1.413 GHz for salinities of 30.002 psu, 34.997 psu and 38.274 psu is used to construct a polynomial model function. The coefficients of the polynomial are determined by minimizing the error between the model function and the data in the least square sense. The results are compared with the Klein Swift model function and the differences are...
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