3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2018
Clustering of Data with Missing Entries
Sunrita Poddar, Mathews Jacob
The analysis of large datasets is often complicated by the presence of missing entries, mainly because most of the current machine learning algorithms are designed to work with ful…
cs.CV2018
Recovery of Point Clouds on Surfaces: Application to Image Reconstruction
Sunrita Poddar, Mathews Jacob
We introduce a framework for the recovery of points on a smooth surface in high-dimensional space, with application to dynamic imaging. We assume the surface to be the zero-level s…
cs.CV2017★ 3 cited
Clustering of Data with Missing Entries using Non-convex Fusion Penalties
Sunrita Poddar, Mathews Jacob
The presence of missing entries in data often creates challenges for pattern recognition algorithms. Traditional algorithms for clustering data assume that all the feature values a…