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Low rank matrix approximation, in the presence of missing data and outliers, has previously shown its significance as a theoretic foundation in a wide spectrum of tabulated information processing applications. To fit low rank models, minimizing the nuclear norm of matrices is a popular scheme, the computational load of which, however, is heavy. While bilinear factorization can largely mitigate the...
Transfer function plays an important role in volume rendering. Multi-dimension transfer function can achieve high rendering quality, but suffer from troublesome user specifications. In order to reduce the complexity of manipulations, a transfer function design method based on dimension reduction model is proposed in this paper. The idea of dimension reduction model is to integrate several data features...
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