254 citations · 1.2k across the 51 of their papers we have counts for
5 papers · 1 filter
Generalization Error of Invariant Classifiers
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
This paper studies the generalization error of invariant classifiers. In particular, we consider the common scenario where the classification task is invariant to certain transform…
Bounds on the Number of Measurements for Reliable Compressive Classification
Hugo Reboredo, Francesco Renna, Robert Calderbank +1
This paper studies the classification of high-dimensional Gaussian signals from low-dimensional noisy, linear measurements. In particular, it provides upper bounds (sufficient cond…
Multi-modal dictionary learning for image separation with application in art investigation
Nikos Deligiannis, Joao F. C. Mota, Bruno Cornelis +2
In support of art investigation, we propose a new source separation method that unmixes a single X-ray scan acquired from double-sided paintings. In this problem, the X-ray signals…
X-ray image separation via coupled dictionary learning
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis +2
In support of art investigation, we propose a new source sepa- ration method that unmixes a single X-ray scan acquired from double-sided paintings. Unlike prior source separation m…
Robust Large Margin Deep Neural Networks
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
The generalization error of deep neural networks via their classification margin is studied in this work. Our approach is based on the Jacobian matrix of a deep neural network and…