Thierry Dumas

  • Citations Per Year
Learn More
This paper addresses the problem of image compression using sparse representations. We propose a variant of autoencoder called Stochastic Winner-Take-All Auto-Encoder (SWTA AE). “Winner-Take-All” means that image patches compete with one another when computing their sparse representation and “Stochastic” indicates that a(More)
This paper considers the problem of image compression with shallow sparse autoencoders. We use both a T-sparse autoencoder (T-sparse AE) and a winner-take-all autoencoder (WTA AE). A performance analysis in terms of rate-distortion tradeoff and complexity is conducted, comparing with LARSLasso, Coordinate Descent (CoD) and Orthogonal Matching Pursuit (OMP).(More)
  • 1