Skip to search formSkip to main contentSkip to account menu

Bregman method

Known as: Bregman 
Bregman's method is an iterative algorithm to solve certain convex optimization problems. The algorithm is a row-action method accessing constraint… 
Wikipedia (opens in a new tab)

Related topics

Related topics

7 relations
Bregman divergenceConvex optimizationList of numerical analysis topicsProximal gradient method

Broader (1)

Mathematical optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary
Spectral computed tomography (CT) has a great superiority in lesion detection, tissue characterization and material decomposition… 
2014
2014
Document clustering algorithms, representations and evaluation for information retrieval
This thesis presents new methods for classification and thematic grouping of billions of web pages, at scales previously not… 
2014
2014
Fast Total-Variation Image Deconvolution with Adaptive Parameter Estimation via Split Bregman Method
The total-variation (TV) regularization has been widely used in image restoration domain, due to its attractive edge preservation… 
2013
2013
Purelet approach and ICA Based Poisson Noise Reduction in MRI Data Set
— In this paper we proposed a hybrid method for Poisson noise amputation in MRI (Magnetic Resonance Imaging) datasets. The… 
2013
2013
Interactive geospatial object extraction in high resolution remote sensing images using shape-based global minimization active contour model
2013
2013
Linearized Bregman for l 1-regularized Logistic Regression
Sparse logistic regression is an important linear classifier in statistical learning, providing an attractive route for feature… 
2012
2012
Extraction of coherent vortices from homogeneous turbulence using curvelets and total variation filtering methods
2010
2010
Wavelet frame based scene reconstruction from range data
2010
2010
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method
Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing… 
2007
2007
Visualizing bregman voronoi diagrams
Voronoi diagrams are fundamental geometric structures that partition the space into elementary regions of influence defining… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)