Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Static/dynamic filter with nonlocal regularizer
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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