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Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum

机译：基于局部同内族和全局子空间投影距离最小的张量的维数

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Guokai Zhang; Zhengming Ma; Haidong Huang;
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年度 2020
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1. Dimensionality reduction based on multi-local linear regression and global subspace projection distance minimum [J] . Huang Haidong, Ma Zhengming, Zhang Guokai, Pattern Analysis and Applications . 2021,第4期

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2. Dimensionality reduction of tensor based on subspace learning and local homeomorphism [J] . Zhang Guokai, Ma Zhengming, Huang Haidong Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2020,第1期

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3. Tensor distance based multilinear globality preserving embedding: A unified tensor based dimensionality reduction framework for image and video classification [J] . Yang Liu, Yan Liu, Shenghua Zhong, Expert systems with applications . 2012,第12期

机译：基于张量距离的多线性全局保留嵌入：基于统一张量的降维框架，用于图像和视频分类
4. Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction [C] . Huang Sheng, Elgammal Ahmed, Huangfu Luwen, IEEE Conference on Computer Vision and Pattern Recognition Workshops . 2014

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5. Improving k-NN Search and Subspace Clustering Based on Local Intrinsic Dimensionality [D] . Wali, Arwa M. 2018

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6. A lower bound on the error in dimensionality reduction resulting from projection onto a restricted subspace [O] . Himanshu Chandola -1

机译：从投影到受限制子空间产生的维数减少的误差下界限
7. Tensor distance based multilinear globality preserving embedding : a unified tensor based dimensionality reduction framework for image and video classification [O] . Liu Y, Zhong S, Chan KCC 2012

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Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum

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