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Tensor reduction error analysis — Applications to video ...
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由 C Ding 著作2008被引用 29 次 — Standard method such as high order SVD (HOSVD) compress data in all index dimensions and thus can not perform the classification and pattern recognition tasks.
Tensor Reduction Error Analysis – Applications to Video ...
The University of Texas at Arlington
https://ranger.uta.edu › papers › CVPR_2008_D-1
The University of Texas at Arlington
https://ranger.uta.edu › papers › CVPR_2008_D-1
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由 C Ding 著作被引用 29 次 — The contributions this paper are summarized as follows: 1) We provide the first error bound analysis of tensor fac- torization methods with theoretical proof. 2 ...
Tensor reduction error analysis — Applications to video ...
ResearchGate
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2024年10月22日 — used rank-one tensors to reduce tensor dimensionality for applications such as video compression and face classification (Ding, Huang, and Luo ...
[PDF] Tensor reduction error analysis — Applications to video ...
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This work provides the first error analysis ofensor based dimensionality reduction methods and provides error bound results similar to Eckart-Young Theorem ...
DING, Hongqiang Chris | The Chinese University of Hong ...
香港中文大学（深圳）
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香港中文大学（深圳）
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31. Tensor Reduction Error Analysis -- Applications to Video Compression and Classification. Chris Ding, Heng Huang, Dijun Luo. IEEE Conference on Computer ...
3D Tensor Auto-encoder with Application to Video Compression
ACM Digital Library
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由 Y Li 著作2021被引用 5 次 — Tensor reduction error analysis--Applications to video compression and classification. In IEEE Conference on Computer Vision and Pattern ...
Tensor video coding | Request PDF
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In this paper, we exploit the intrinsic tensor-nature of video and propose a Tensor Video Coding (TVC) framework that is based on tensor decomposition.
3D Tensor Auto-encoder with Application to Video Compression
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This article introduces a network structure called 3D Tensor Auto-Encoder (3DTAE), in which a video is represented as a vector, and the weights of each ...
Are Tensor Decomposition Solutions Unique? On the ...
Springer
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由 D Luo 著作2011被引用 22 次 — Matrix factorizations and tensor decompositions are now widely used in machine learning and data mining. They decompose input matrix and tensor data into ...
Low-rank regularized tensor discriminant representation for ...
ScienceDirect.com
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由 P Jing 著作2019被引用 18 次 — A general framework for learning discriminant representations of samples is proposed to better solve the classification of image sets.