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。
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。
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。
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