In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
In our prior work, we presented a highly effective local search based heuristic algorithm called the Largest Expanding Sweep Search (LESS) to solve the minimum energy broadcast (M...
The problem of target localization involves estimating the position of a target from multiple and typically noisy measurements of the target position. It is well known that the re...
Adrian N. Bishop, Baris Fidan, Brian D. O. Anderso...
— Passively adaptive and underactuated robotic hands have shown the potential to achieve reliable grasping in unstructured environments without expensive mechanisms or sensors. I...
A surveillance area is to be monitored using a grid network of heterogeneous sensor nodes. There are two types of nodes; type 0 nodes which perform sensing and relaying of data wit...
Vivek Mhatre, Catherine Rosenberg, Daniel Kofman, ...