☆ 4.7 Article

Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2022)

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Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference

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Summary: This paper introduces a fully Bayesian treatment of TT decomposition, utilizing a Gaussian-product-Gamma prior to induce sparsity and deriving an efficient learning algorithm under variational inference framework. Experimental results demonstrate the superiority of the proposed algorithm in image completion and image classification tasks compared to other existing TT decomposition algorithms.

2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021) (2021)

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Article Engineering, Electrical & Electronic