Publications associées à COMMUNICATION LOWER BOUNDS AND OPTIMAL ALGORITHMS FOR MULTIPLE TENSOR-TIMES-MATRIX COMPUTATION

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

COMMUNICATION LOWER BOUNDS AND OPTIMAL ALGORITHMS FOR MULTIPLE TENSOR-TIMES-MATRIX COMPUTATION

Graph Chatbot

Chattez avec Graph Search

Coordinated Optimization and Control for Smart Grids

Multilinear Low-Rank Tensors on Graphs & Applications

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Learning with tensors: a framework based on convex optimization and spectral regularization

A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

Assessing Gaps and Needs for Integrating Building Performance Optimization Tools in Net Zero Energy Buildings Design

Design and operations of gas transmission networks

Synthesis of sparse arrays with focused or shaped beampattern via sequential convex optimizations

Coordination and Sampling in Distributed Constraint Optimization

Coordinated Optimization and Control for Smart Grids

Design and operations of gas transmission networks

Learning with tensors: a framework based on convex optimization and spectral regularization

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Synthesis of sparse arrays with focused or shaped beampattern via sequential convex optimizations

A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

Multilinear Low-Rank Tensors on Graphs & Applications

Assessing Gaps and Needs for Integrating Building Performance Optimization Tools in Net Zero Energy Buildings Design

Coordination and Sampling in Distributed Constraint Optimization