—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
This paper presents a principled and practical method for the computation of visual saliency of spatiotemporal events in full motion videos. Based on the assumption that uniquenes...
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...
BitTorrent is one of the most popular protocols for content distribution and accounts for more than 15% of the total Internet traffic. In this paper, we present an analytical mod...
— Vehicular networks are emerging as an exciting new area of pervasive networking. Roadway congestion amelioration is one of the attractive applications of such a network. The mo...
Today, many software-based, reactive systems offer a multitude of functionality. One way to master the development of such a system is to model its functionality on an abstract le...
Alexander Gruler, Alexander Harhurin, Judith Hartm...
A flexible model for estimating reliability of RAID storage systems is presented. This model corrects errors associated with the common assumption that system times to failure fol...
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...