1 citations · 2 across the 6 of their papers we have counts for
6 papers
Two-Dimensional Unknown View Tomography from Unknown Angle Distributions
Kaishva Chintan Shah, Karthik S. Gurumoorthy, Ajit Rajwade
This study presents a technique for 2D tomography under unknown viewing angles when the distribution of the viewing angles is also unknown. Unknown view tomography (UVT) is a probl…
Estimating Joint Probability Distribution With Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries
Pranava Singhal, Waqar Mirza, Ajit Rajwade +1
In this paper, we describe a method for estimating the joint probability density from data samples by assuming that the underlying distribution can be decomposed as a mixture of pr…
Signal Reconstruction from Samples at Unknown Locations with Application to 2D Unknown View Tomography
Sheel Shah, Kaishva Shah, Karthik S. Gurumoorthy +1
It is well known that a band-limited signal can be reconstructed from its uniformly spaced samples if the sampling rate is sufficiently high. More recently, it has been proved that…
GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion Estimates
Jerin Geo James, Devansh Jain, Ajit Rajwade
Videos shot by laymen using hand-held cameras contain undesirable shaky motion. Estimating the global motion between successive frames, in a manner not influenced by moving objects…
Joint Probability Estimation Using Tensor Decomposition and Dictionaries
Shaan ul Haque, Ajit Rajwade, Karthik S. Gurumoorthy
In this work, we study non-parametric estimation of joint probabilities of a given set of discrete and continuous random variables from their (empirically estimated) 2D marginals,…
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade
Joint probability mass function (PMF) estimation is a fundamental machine learning problem. The number of free parameters scales exponentially with respect to the number of random…