activity
20132020
most citedAn Impossibility Result for High Dimensional Supervised Learning

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2020

Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium

Muhammad Usman Ghani, W. Clem Karl

Image domain prior models have been shown to improve the quality of reconstructed images, especially when data are limited. Pre-processing of raw data, through the implicit or expl…

eess.IV2019

Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium

Muhammad Usman Ghani, W. Clem Karl

Computed Tomography (CT) is a non-invasive imaging modality with applications ranging from healthcare to security. It reconstructs cross-sectional images of an object using a colle…

cs.CV2019

Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning

Muhammad Usman Ghani, W. Clem Karl

Filtered back projection (FBP) is the most widely used method for image reconstruction in X-ray computed tomography (CT) scanners. The presence of hyper-dense materials in a scene,…

cs.LG2013

Sensing-Aware Kernel SVM

Weicong Ding, Prakash Ishwar, Venkatesh Saligrama +1

We propose a novel approach for designing kernels for support vector machines (SVMs) when the class label is linked to the observation through a latent state and the likelihood fun…

stat.ML2013★ 3 cited

An Impossibility Result for High Dimensional Supervised Learning

Mohammad Hossein Rohban, Prakash Ishwar, Birant Orten +2

We study high-dimensional asymptotic performance limits of binary supervised classification problems where the class conditional densities are Gaussian with unknown means and covar…