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A class of non-uniformly sampling system is investigated, and the lifted state space model of non-uniformly sampled-data system is derived by using integration method. The corresponding transfer function model is further obtained. To solve the problem that there exist unknown mid-variables in information vectors of identification model, the auxiliary model technique is applied to replace the unknown...
Matching visual appearances of the target over consecutive video frames is a fundamental yet challenging task in visual tracking. Its performance largely depends on the distance metric that determines the quality of visual matching. Rather than using fixed and predefined metric, recent attempts of integrating metric learning-based trackers have shown more robust and promising results, as the learned...
It is very important for the performance evaluation of dorsa-hand vein (DHV) recognition algorithms to construct very large DHV databases. However, limited by the real conditions, there are no very large common DHV databases now. This paper introduces a novel synthesis method of DHV images using principal component analysis (PCA), which will be applied to enlarging the existing DHV image database...
In this paper we present general Julia sets of non-analytic families z??n+ c (n 3 2), we also propose some properties of these general Julia sets. Moreover, by iterated function systems theory, we give out two estimations of Hausdorff dimension of these general Julia sets when |c| is sufficient large or sufficient small.
We consider the multi-valued discrete real training set that can not be separated by one multi-valued multi-threshold neuron. Such training set is defined as linearly nonseparable set in this paper. Our objective is to use multi-valued multi-threshold neural networks to learn nonseparable training sets. First we give the method that how to determine a training set is separable or nonseparable (i.e...
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