Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Abstract. In this paper we study the problem of determining threedimensional orientations for noisy projections of randomly oriented identical particles. The problem is of central ...
— Embedding of a graph metric in Euclidean space efficiently and accurately is an important problem in general with applications in topology aggregation, closest mirror selectio...
Bone dissection is an important component of many surgical procedures. In this paper, we discuss adaptive techniques for providing real-time haptic and visual feedback during a vi...
Marco Agus, Andrea Giachetti, Enrico Gobbetti, Gia...
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
Donald J. Patterson, Lin Liao, Dieter Fox, Henry A...