105 citations · 143 across the 12 of their papers we have counts for
15 papers
Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems
Protim Bhattacharjee, Martin Burger, Anko Boerner +1
Goal oriented autonomous operation of space rovers has been known to increase scientific output of a mission. In this work we present an algorithm, called the RoI Prioritised Sampl…
Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
Angel Villar-Corrales, Veniamin I. Morgenshtern
In the last few years, large improvements in image clustering have been driven by the recent advances in deep learning. However, due to the architectural complexity of deep neural…
Super-Resolution of Positive Sources on an Arbitrarily Fine Grid
Veniamin I. Morgenshtern
In super-resolution it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at low frequencies capped by f_c. In the case…
Region segmentation via deep learning and convex optimization
Matthias Sonntag, Veniamin I. Morgenshtern
In this paper, we propose a method to segment regions in three-dimensional point clouds. We assume that (i) the shape and the number of regions in the point cloud are not known and…
Super-Resolution of Positive Sources: the Discrete Setup
Veniamin I. Morgenshtern, Emmanuel J. Candes
In single-molecule microscopy it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at frequencies capped by , whic…
Super-Resolution Radar
Reinhard Heckel, Veniamin I. Morgenshtern, Mahdi Soltanolkotabi
In this paper we study the identification of a time-varying linear system from its response to a known input signal. More specifically, we consider systems whose response to the in…