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   Articles with "reconstruction error" as a keyword



Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3034828

Abstract: Likelihood-based generative frameworks are receiving increasing attention in the deep learning community, mostly on account of their strong probabilistic foundation. Among them, Variational Autoencoders (VAEs) are reputed for their fast and tractable sampling and relatively… read more here.

Keywords: reconstruction; leibler divergence; variational autoencoders; reconstruction error ... See more keywords

Radar False Target Recognition Method Based on Reconstruction Error Distribution Characteristics of Frequency Response From Multi-CPIs

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3466210

Abstract: The existing artificial intelligence (AI)-based radar active false target jamming recognition method is mostly based on supervised learning and performs poorly when the signal-to-noise ratio (SNR) is low. For these reasons, this article proposes an… read more here.

Keywords: method; recognition; radar; target ... See more keywords
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Universal Lower Bound for Finite-Sample Reconstruction Error and Its Relation to Prolate Spheroidal Functions

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recommendations! Published in 2018 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2017.2769695

Abstract: We consider the problem of representing a finite-energy signal with a finite number of samples. When the signal is interpolated via sinc function from the samples, there will be a certain reconstruction error since only… read more here.

Keywords: error; bound; number samples; reconstruction error ... See more keywords

Normalized Robust PCA With Adaptive Reconstruction Error Minimization

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recommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2023.3325462

Abstract: Principal component analysis (PCA) is one of the most versatile techniques for unsupervised dimension reduction, which is implemented as a fundamental preprocessing method in multiple tasks of statistics and machine learning research because of its… read more here.

Keywords: pca adaptive; reconstruction error; error minimization; adaptive reconstruction ... See more keywords