31 citations · 215 across the 46 of their papers we have counts for
4 papers · 1 filter
Sparse One-Time Grab Sampling of Inliers
Maryam Jaberi, Marianna Pensky, Hassan Foroosh
Estimating structures in "big data" and clustering them are among the most fundamental problems in computer vision, pattern recognition, data mining, and many other other research…
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1
Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trai…
Rediscovering Deep Neural Networks Through Finite-State Distributions
Amir Emad Marvasti, Ehsan Emad Marvasti, George Atia +1
We propose a new way of thinking about deep neural networks, in which the linear and non-linear components of the network are naturally derived and justified in terms of principles…
Probabilistic Sparse Subspace Clustering Using Delayed Association
Maryam Jaberi, Marianna Pensky, Hassan Foroosh
Discovering and clustering subspaces in high-dimensional data is a fundamental problem of machine learning with a wide range of applications in data mining, computer vision, and pa…