分类空间

Classification of two-component nonlinear cross-diffusion systemsis presented by a developing invariant subspace method.

将不变子空间方法进行推广，并用于带有交错扩散项的非线性方程组的分类。

In the end.we prove that the limit probability distribution of the Markov chains exists.

特别讨论了一种基于特殊选择的抽象进化算法，根据状态空间的分类，分析了这种特殊选择进化算法种群的一步转移概率矩阵的性质，最后证明了这种算法的Markov链存在极限概率分布。

Experiments on both synthetic data and real data show that the method is superior to other linear subspace methods.

通过模拟数据和真实数据的实验，表明这种方法的分类正确率比现有的线性子空间方法有明显提高。

Discuss the fuzzy units marking the quantity of space and the ambiguous marking function of the fuzzy classifiers in last chapter.

模糊单位具有标记空间量的功能，在对模糊单位进行分类的基础上，探讨各类单位的表量模糊性。

First,the feature subspaces are formed from different pose images using ICA and PCA.Then the pose image is transformed into its corresponding frontal face image using the transformation matrix predetermined by learning.Based on this foundation,the wavelet transform is applied to face images,and the authors compare the frontal face feature coefficients directly which are obtained by using the transformation matrix with the feature coefficients of the original face images,the recognition rate is improved greatly.

首先利用ICA和PCA提取不同姿态人脸的特征子空间，然后利用通过训练得到的姿态转换矩阵合成其相对应的正面人脸图像，实验表明ICA人脸识别算法要优于PCA人脸识别算法，并在此基础上用小波对人脸图像进行预处理，据姿态转换矩阵得到的正面人脸特征系数直接进行分类比较，识别率得到了很大的提高。

Methods Based on the structure of gene frequency matrix,we combine the method of principle components analysis with the minimal spanning tree of graph theory,to set up the model of graph theory principle components analysis.

结果图论主成分分析的基本步骤可概括为：①对中心化基因频率的协方差矩阵进行主成分分析；②按图论原理求过m维空间n个点的最小生成树；③利用求"颈"法分割最小生成树；④将最小生成树整合到二维主成分散点图中构建图论主成分分类图。

To solve this problem,we present a method of self-intersecting manifold learning. The core of this method is to select neighborhood points based on tangent space clustering. We construct a layered neighbor-graph to storage the trusted information of low dimensional neighborhood.

为了解决这个问题，本文提出一种自相交流形学习算法，其核心内容是基于切空间分类的邻域选取方法，主要是通过逐步建立分层邻域图储存正确的邻域关系，以获取有效的局部低维结构。

In addition, a new method of outlier detection in time series is proposed by combination of phase space theory and one-class classification method.

另外，结合一类分类方法和相空间重构理论，提出一种时间序列中的异常值检测方法。

Based on orthogonal subspace projection algorithm, the algorithm was used to satellite optimum channels selection for underlying surface classification.

在研究正交子空间投影算法基础上，将此算法用于卫星影像下垫面分类的优化通道选择。

It is difficult to develop a packet classification algorithm that is efficient in both space and time.

设计一种在时间上和空间上都很好的包分类算法非常困难。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。