Multilinear subspace learning 多线性子空间学习
learning subspace method 学习子空间
supervised subspace learning 监督子空间学习
subspace learning 子空间学习
tensor subspace learning 张量子空间学习
By using dynamic fuzzy relations,the axiomatic system of autonomic learning subspace was established.
利用动态模糊关系,建立自主学习子空间的公理体系。
参考来源 - 基于DFL的自主学习子空间的公理体系研究 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, a novel tensor subspace learning algorithm, tensor locality discriminant projection, is proposed.
本文提出了一种新的张量子空间的学习算法：张量局部判别投影。
The main contributions of this paper are listed as follows. (1) An incremental tensor subspace learning based object tracking is presented.
主要研究内容包括：(1)提出一种增量式张量子空间学习的目标跟踪算法。
Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
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