This paper addresses the problem of seeking out parts of the environment that provide adequate features in order to perform robot localization. The objective is to choose good regi...
In this paper we address the issue of image database retrieval based on color using various vector distance metrics. Our system is based on color segmentation where only a few rep...
Dimitrios Androutsos, Kostas N. Plataniotis, Anast...
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
As the processor-memory performance gap continues to grow, so does the need for effective tools and metrics to guide the design of efficient memory hierarchies to bridge that gap....
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...