35 citations · 114 across the 25 of their papers we have counts for
5 papers · 1 filter
On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection
Daniël Reichman, Leslie M. Collins, Jordan M. Malof
Ground penetrating radar (GPR) is one of the most popular and successful sensing modalities that has been investigated for landmine and subsurface threat detection. Many of the det…
A Graph-Theoretic Approach to Multitasking
Noga Alon, Jonathan D. Cohen, Biswadip Dey +6
A key feature of neural network architectures is their ability to support the simultaneous interaction among large numbers of units in the learning and processing of representation…
Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays
Omri Ben-Eliezer, Simon Korman, Daniel Reichman
Understanding the local behaviour of structured multi-dimensional data is a fundamental problem in various areas of computer science. As the amount of data is often huge, it is des…
LP-Based Robust Algorithms for Noisy Minor-Free and Bounded Treewidth Graphs
Nikhil Bansal, Daniel Reichman, Seeun William Umboh
We give a general approach for solving optimization problems on noisy minor free graphs, where a δ-fraction of edges and vertices are adversarially corrupted. The noisy setting was…
Contagious Sets in Random Graphs
Uriel Feige, Michael Krivelevich, Daniel Reichman
We consider the following activation process in undirected graphs: a vertex is active either if it belongs to a set of initially activated vertices or if at some point it has at le…