• In this paper, a novel tensor subspace learning algorithm, tensor locality discriminant projection, is proposed.

    本文提出了一种新的量子空间学习算法:张量局部判别投影

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  • 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)提出一种增量式量子空间学习目标跟踪算法。

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  • 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.

    维空间描述高维数据数据分析模式识别机器学习计算机视觉等领域基础问题之一

    youdao

  • 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.

    维空间描述高维数据数据分析模式识别机器学习计算机视觉等领域基础问题之一

    youdao

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