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In ["Wavelet based hybrid multilinear models for multidimensional image approximation" by Q. Wu et. al.] we propose hybrid multilinear models in the wavelet ...
Multilinear models based on tensor approximation have achieved impressive compression ratios for high- dimensional visual data [1]. Instead of using prescribed.
May 17, 2017 · Bibliographic details on Hierarchical and wavelet-based multilinear models for multi-dimensional visual data approximation.
Multilinear models based on tensor approximation have re- ceived much attention recently. They are capable of generating a more compact representation of ...
For example, wavelets (pre-defined bases) are especially convenient for multiresolution volume rendering since they define a multiresolution hierarchy of ...
Sep 21, 2024 · This paper presents a novel tensor-based representation, namely hierarchical multiway K-clustered tensor approximation, for multidimensional visual datasets.
In this paper, we propose a novel multilevel wavelet-based hierarchical networks for image compressed sensing (dubbed MWHCS-Net).
Multilinear models based on tensor approximation have received much attention recently. They are capable of generating a more com- pact representation of multi- ...
Wavelet-based hybrid multilinear models for multidimensional image approximation ... Hierarchical Tensor Approximation of Multi-Dimensional Visual Data · Article.
Our hierarchical tensor approximation supports progressive transmission and partial decompression. Experimental results indicate that our technique can achieve ...
Missing: multilinear models