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This paper proposes the Anchored Kernel Metric Learning (AKML) method, which learns metrics by sparsely combining locally discriminative rank-1 basis matrices in the anchored kernel induced space. First, we apply k-means clustering to generate anchored samples, thus forming an anchored sample matrix. Based on the assumption that the basis matrices can be formulated as linear combinations of anchored...
Color constancy endows the machines with the ability of identifying the color regardless of the illuminant. Considering none of single algorithms available is universal, this paper presents a novel combination approach based on local texture features and local regression. To better represent images, local texture features based on integrated Weibull distribution are firstly extracted on the overlapping...
Gas/liquid two-phase flow system is a complex, nonlinear and dynamic system, therefore is difficult to measure. Basing on the application of electrical resistance tomography (ERT) in gas/liquid two-phase flow of vertical pipe, wavelets transform is used to analyses the measured data from ERT system. Furthermore, according to the multi-resolution analysis (MRA), the feature vector of multiple scales...
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