Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
In this paper we present a macroscopic model for the analysis of homogeneous task-directed multi-robot systems (MRS). The model is used to compute the probability that a given MRS ...
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Component-based software construction is widely used in a variety of applications, from embedded environments to grid computing. However, errors in these applications and systems ...
Timed I/O Automata (TIOA) is a mathematical framework for modeling and verification of distributed systems that involve discrete and continuous dynamics. TIOA can be used for exa...
Myla Archer, Hongping Lim, Nancy A. Lynch, Sayan M...