• Image super-resolution restoration and enhancement (SR) based on reconstruction is a typically ill-posed and high-dimensional problem, which needs effective regularization to stable the solution.

    基于重建的超分辨率(SR)方法中,图像求解是典型的高维病态问题,需借助有效的正则来稳定求解。

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  • To solve the typical "fuzzy rule explosion" problem in designing the high dimensional fuzzy controller, ant colony algorithm is used to filter a designed complete fuzzy-rule base.

    针对设计高维模糊控制器过程中会遇到的“规则爆炸”问题,利用蚁群算法进行控制规则的过滤简化。

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  • The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.

    实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。

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  • Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.

    提出了一种适用于高维数值优化问题的空间分割微粒群算法。

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  • The study of high dimensional data index method is the key problem of content based search in large scale multimedia databases.

    在大规模多媒体数据库中进行基于内容的检索,高维数据索引结构的研究是重要问题。

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  • Face recognition is essentially a typical small-sample pattern recognition problem in sparse hyper-high dimensional space.

    人脸识别实质是稀疏超高维空间、典型的小样本模式识别问题。

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  • With the modeling problem of layout items in high dimensional layout problem as the application object, this paper introduces the concept of 2n-tree representation.

    针对高维几何布局问题中布局物体的建模问题,提出2-叉树方法,在一般维度下系统地给出了抽象物体的叉树表示法的构造。

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  • Feature space is high dimensional and sparse in text categorization, the process of dimension reduction is a very key problem for large-scale text categorization.

    文本分类中特征向量空间是高维和稀疏的,降维处理是分类的关键步骤。

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  • Using the elastic-plastic hydrodynamic model, a problem of a composite high velocity projectile impacting at the rock is calculated by the modified two-dimensional HELP code.

    本文用改进的HELP二维计算程序,流体弹塑性力学模型,计算了复合弹体高速撞击岩体问题。

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  • Absrtact: the problem of similarity measurement between high dimensional data is one of the problems high-dimensional data mining faces.

    摘要:高维数据之间的相似性度量问题是高维空间数据挖掘中所面临的问题之一。

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  • The initial problem of one dimensional diffusion equations can be solved by using global or sub domain high precise integration method.

    一维扩散方程初值问题可以用全域或子域精细积分求解。

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  • The sparsity and the problem of the curse of dimensionality of high-dimensional data, make the most of traditional clustering algorithms lose their action in high-dimensional space.

    高维数据的稀疏性和“维灾”问题使得多数传统聚类算法失去作用,因此研究高维数据集的聚类算法己成为当前的一个热点。

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  • The sparsity and the problem of the curse of dimensionality of high-dimensional data, make the most of traditional clustering algorithms lose their action in high-dimensional space.

    高维数据的稀疏性和“维灾”问题使得多数传统聚类算法失去作用,因此研究高维数据集的聚类算法己成为当前的一个热点。

    youdao

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