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   Articles with "regularizer" as a keyword



Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models

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recommendations! Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.05.075

Abstract: Abstract This paper investigates the split complex gradient descent based neuro-fuzzy algorithm with self-adaptive momentum and L2 regularizer for training TSK (Takagi–Sugeno–Kang) fuzzy inference models. The major threat for disposing complex data with fuzzy system… read more here.

Keywords: algorithm; regularizer; complex gradient; split complex ... See more keywords

Plug-and-Play Regularization Using Linear Solvers

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recommendations! Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3211473

Abstract: There has been tremendous research on the design of image regularizers over the years, from simple Tikhonov and Laplacian to sophisticated sparsity and CNN-based regularizers. Coupled with a model-based loss function, these are typically used… read more here.

Keywords: using linear; plug play; regularization; regularizer ... See more keywords

Multiscale Spectral Manifold Wavelet Regularizer for Unsupervised Deep Functional Maps

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recommendations! Published in 2024 at "Computer Graphics Forum"

DOI: 10.1111/cgf.15230

Abstract: In deep functional maps, the regularizer computing the functional map is especially crucial for ensuring the global consistency of the computed pointwise map. As the regularizers integrated into deep learning should be differentiable, it is… read more here.

Keywords: multiscale spectral; functional maps; deep functional; regularizer ... See more keywords

Static/dynamic filter with nonlocal regularizer

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recommendations! Published in 2021 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.30.1.013013

Abstract: Abstract. Guided (joint) image filters play an important role in many computer vision and image processing applications. The main principle behind these filters is transferring the structural information from a guidance image to an input… read more here.

Keywords: dynamic filter; nonlocal regularizer; static dynamic; regularizer ... See more keywords

Adaptive linear reconstruction with regularizer for channeled spectropolarimeter

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recommendations! Published in 2021 at "Optical Engineering"

DOI: 10.1117/1.oe.60.6.064111

Abstract: Abstract. A channeled spectropolarimeter (CSP) measures spectrally resolved Stokes parameters from a snapshot. However, the reconstruction of Stokes parameters may suffer from noise and systemic errors, lowering the measurement accuracy. To accurately reconstruct Stokes parameters… read more here.

Keywords: reconstruction; regularizer; linear reconstruction; adaptive linear ... See more keywords