A novel method for dimensionality reduction of kernel matrix is presented.
提出了基于聚类的核矩阵维度缩减技术。
Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.
通过自适应的离散粒子群算法来对核相似矩阵进行学习。
Decomposition of dynamic matrix becomes a new research topic as soon as the LP dynamic factorization and kernel matrix came out.
随着线性规划动态分解和核心矩阵的出现，矩阵的动态分解成为了一个新的研究课题。
It maps original data to kernel space to get a kernel matrix, and utilizes kernel function and L1 norm to minimize the distance function.
运用核函数将原始数据映射到核空间中得到核矩阵，再利用L1范数使距离函数达到最小。
At this point, however, the selection of the scaling factor, one of the parameters composing the kernel matrix, is not determined at present yet.
同时还分析了考虑尺度因子的拼接模型的合理性。
This paper analyzes the kernel matrix in the linear programming problem and proposes a new revised prime-dual algorithm based on the kernel matrix.
本文通过对线性规划问题中的核心矩阵的分析，提出了一种基于核心矩阵的原始对偶算法。
A concept of kernel matrix of quaternion is proposed, which is based on rotation group algebra and with spacecraft attitude control as its background.
基于旋转群代数，以航天器姿态控制研究为背景，提出了四元数的核心矩阵的概念。
The main idea is to approximate the classical local linear embedding (LLE) by introducing a linear transformation matrix and then find the solution in a very high dimensional space by kernel trick.
其主要思想是通过引入线性变换矩阵来近似经典的局部线性嵌入(LLE)，然后通过核方法的技巧在高维空间里求解。
The main problem considered in this paper is how to find efficiently a nonzero element in the kernel of a given structured matrix by the displacement approach.
研究如何应用位移秩的方法有效地求出一个给定的结构矩阵的核空间中的一个非零元素。
Firstly space transform method was used to transform initial kernel between class scatter matrix and kernel total scatter matrix, so the kernel total scatter matrix became positive definition.
利用空间变换的有关理论，使得变换后的核总体散布矩阵满足非奇异性；
Firstly space transform method was used to transform initial kernel between class scatter matrix and kernel total scatter matrix, so the kernel total scatter matrix became positive definition.
利用空间变换的有关理论，使得变换后的核总体散布矩阵满足非奇异性；
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