— The semantic robots of the immediate future are robots that will be able to find and recognize objects in any environment. They need the capability of segmenting objects in th...
Ajay K. Mishra, Yiannis Aloimonos, Cornelia Ferm&u...
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Abstract)",4th Annual Walter Lincoln Hawkins Research Conference, RPI, November 2005. B. Hill, \Correlated Caching for Correlated Data", 2nd Annual Walter Lincoln Hawkins...
In this paper, the participants of the panel at the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval answer questions about what multimedia is, how MIR is ...
— This paper addresses the problem of simultaneous localization and mapping (SLAM) by a mobile robot. The SLAM problem is defined as a global optimization problem in which the o...