Clinical Evaluation of Swedish Interactive Thresholding Algorithm–Faster Compared With Swedish Interactive Thresholding Algorithm–Standard in Normal Subjects, Glaucoma Suspects, and Patients With Glaucoma
Sign Up to like & getrecommendations! Published in 2019 at "American Journal of Ophthalmology"
DOI: 10.1016/j.ajo.2019.08.013
Abstract: Purpose To compare the visual fields results obtained using the Swedish interactive thresholding algorithm-Standard (SS) and the Swedish interactive thresholding algorithm-Faster (SFR) in normal subjects, glaucoma suspects, and patients with glaucoma and to quantify potential… read more here.
Keywords: patients glaucoma; interactive thresholding; normal subjects; thresholding algorithm ... See more keywords
ℓ1/2-based Penalized Clustering with Half Thresholding Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.058
Abstract: Abstract Clustering is a widely applied method in data analysis. As a novel framework of clustering analysis, penalized clustering bases itself on the sparsity of solution, which contributes to its ability of determining the best… read more here.
Keywords: clustering half; based penalized; penalized clustering; half thresholding ... See more keywords
A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov’s Rule
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2873628
Abstract: Image deblurring problem is a tough work for improving the quality of images, in this paper; we develop an efficient and fast thresholding algorithm to handle such problem. We observe that the improved fast iterative… read more here.
Keywords: nesterov rule; thresholding algorithm; image deblurring; proposed algorithm ... See more keywords
Itao: A New Iterative Thresholding Algorithm Based Optimizer for Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222311
Abstract: In this paper, we propose a new iterative thresholding algorithm based optimizer (Itao) for deep neural networks. It is a first-order gradient-based algorithm with Tikhonov regularization for stochastic objective functions. It is fast and straightforward… read more here.
Keywords: neural networks; iterative thresholding; algorithm based; thresholding algorithm ... See more keywords
Iterative Hard Thresholding Algorithm-Based Detector for Compressed OFDM-IM Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3187451
Abstract: A low-complexity iterative hard thresholding (IHT) algorithm-based detector is proposed for the compressed orthogonal frequency division multiplexing with index modulation (OFDM-IM) system. To improve recovery accuracy and reduce the number of iterations, detection is embedded… read more here.
Keywords: iterative hard; algorithm based; thresholding algorithm; based detector ... See more keywords
Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3262184
Abstract: In this paper, a nonconvex surrogate function, namely, Laplace norm, is studied to recover the sparse signals. Firstly, we discuss the equivalence of the optimal solutions of $l_{0}$-norm minimization problem, Laplace norm minimization problem and… read more here.
Keywords: thresholding algorithm; hard thresholding; difference hard; minimization problem ... See more keywords
Adaptive filter design via a gradient thresholding algorithm for compressive spectral imaging.
Sign Up to like & getrecommendations! Published in 2018 at "Applied optics"
DOI: 10.1364/ao.57.004890
Abstract: Sensing a spectral image data cube has traditionally been a time-consuming task since it requires a scanning process. In contrast, compressive spectral imaging (CSI) has attracted widespread interest since it requires fewer samples than scanning… read more here.
Keywords: data cube; compressive spectral; spectral imaging; color coded ... See more keywords
Learned iterative shrinkage and thresholding algorithm for terahertz sparse deconvolution.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.456688
Abstract: Terahertz sparse deconvolution based on an iterative shrinkage and thresholding algorithm (ISTA) has been used to characterize multilayered structures with resolution equivalent to or finer than the sampling period of the measurement. However, this method… read more here.
Keywords: shrinkage thresholding; thresholding algorithm; deconvolution; iterative shrinkage ... See more keywords
A Novel Iterative Thresholding Algorithm Based on Plug-and-Play Priors for Compressive Sampling
Sign Up to like & getrecommendations! Published in 2017 at "Future Internet"
DOI: 10.3390/fi9030024
Abstract: We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers—i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers. Through the use of the recently… read more here.
Keywords: iterative thresholding; compressive sampling; thresholding algorithm; plug play ... See more keywords