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total variation

49 papers

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Also known as

TV

Co-occurring keywords

total variation regularization (21) image denoising (372) convex optimization (1321) image restoration (1517) unsupervised learning (3264) alternating direction method of multiplier (145) piecewise constant (11) variational method (45) neural network (6616) dynamic regret (94)

Papers

Learning to solve TV regularised problems with unrolled algorithms NIPS 2020
A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
Online Forecasting of Total-Variation-bounded Sequences NIPS 2019
A Representer Theorem for Deep Neural Networks JMLR 2019
Minimax Learning of Ergodic Markov Chains ALT 2019
Fast Decomposable Submodular Function Minimization using Constrained Total Variation NIPS 2019
Attributing Hacks AISTATS 2017
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities COLT 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions AISTATS 2016
Supervised Learning via Euler's Elastica Models JMLR 2015
An Accurate Iris Segmentation Framework Under Relaxed Imaging Constraints Using Total Variation Model ICCV 2015
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise CVPR 2015
Segmentation-Free Dynamic Scene Deblurring CVPR 2014
Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014
Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium CVPR 2014
Second-Order Shape Optimization for Geometric Inverse Problems in Vision CVPR 2014
Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo CVPR 2014
A General Dense Image Matching Framework Combining Direct and Feature-Based Costs ICCV 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
Shaping Level Sets with Submodular Functions NIPS 2011
Discrete MDL Predicts in Total Variation NIPS 2009