Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
This paper presents a distributed Bayesian fault diagnosis scheme for physical systems. Our diagnoser design is based on a procedure for factoring the global system bond graph (BG...
Indranil Roychoudhury, Gautam Biswas, Xenofon D. K...
The least recently used (LRU) replacement policy performs poorly in the last-level cache (LLC) because temporal locality of memory accesses is filtered by first and second level...
Samira Manabi Khan, Zhe Wang, Daniel A. Jimé...
In this paper we extend the class of energy functions for which the optimal -expansion and -swap moves can be computed in polynomial time. Specifically, we introduce a class of hi...