Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
We argue that finding vulnerabilities in software components is different from finding exploits against them. Exploits that compromise security often use several low-level details...
Vinod Ganapathy, Sanjit A. Seshia, Somesh Jha, Tho...
To date, topology control in wireless ad hoc and sensor networks--the study of how to compute from the given communication network a subgraph with certain beneficial properties--h...
Thomas Moscibroda, Roger Wattenhofer, Aaron Zollin...
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...