Publication

Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression

Publications associées (82)

À propos
Confidentialité
Mentions légales

Graph Chatbot

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.

Connectez-vous pour utiliser Chat avec Graph Search

Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression

Graph Chatbot

Chattez avec Graph Search

Image Compression and Quality Assessment using Convolutional Neural Networks

On compact representations of Voronoi cells of lattices

Dictionary Learning for Two-Dimensional Kendall Shapes

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

On compact representations of Voronoi cells of lattices

Mapping Monotone Boolean Functions into Majority

Sparse molecular image representation

Signal structure: from manifolds to molecules and structured sparsity

A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection

Image Compression and Quality Assessment using Convolutional Neural Networks

Signal structure: from manifolds to molecules and structured sparsity

On compact representations of Voronoi cells of lattices

Sparse molecular image representation

A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection

On compact representations of Voronoi cells of lattices

Dictionary Learning for Two-Dimensional Kendall Shapes

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Mapping Monotone Boolean Functions into Majority

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging