"High dimensionality and small size samples" is widely encountered in many real world machine learning applications.
“高维度小样本”问题是模式识别应用中的主要障碍之一。
Most of the real-world data, such as images and videos, are always represented by tensor and high-dimensionality form, which make tensor data dimensionality reduction the hot issue in recent research.
实际应用中的许多数据，如图像，视频，通常具有张量性和高维性特征，张量数据的维数约简便成为近期的研究热点。
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