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In order to find a compact representation which uncovers the hidden topics and simultaneously respects the intrinsic geometric structure of hyperspectral data, a novel algorithm, named GLNMF (Globally maximizing, Locally minimizing, regularized Nonnegative Matrix Factorization) feature extraction algorithm, is proposed. The proposed algorithm is a linear approximation of a multi-manifolds-based learning...
In this paper, for a class of switched stochastic discrete (SSD) systems, the 2-th moment stability is investigated. First, the indexes measuring the stability or unstability of subsystems are defined, which unlike the continuous systems are directly affected by the disturbances. Then, together with the method of averaged dwell-time (ADT), a stability result is obtained for a cases of specific switching...
The studies on the assessment of urban landscape river health are scarce. The aggregative indicator approach, which is commonly used currently, has the deficiencies of burying the variance among the indicators and often results in imperfect answer. An integrated assessment procedure, combining the key limiting indicators with aggregative indicators, is put forward. The aggregative indicators system...
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