This paper extends classical object pose and relative camera motion estimation algorithms for imaging sensors sampling the scene through light-paths. Many algorithms in multi-view...
Srikumar Ramalingam, Sofien Bouaziz, Peter Sturm, ...
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
This is the first part of a two-part paper on information-theoretically secure secret key agreement. In this part, we study the secrecy problem under the widely studied source mod...