I find that the standard class of a#ne models produces poor forecasts of future changes in Treasury yields. Better forecasts are generated by assuming that yields follow random walks. The failure of these models is driven by one of their key features: The compensation that investors receive

In this work, we investigate the visual appearance of real-world surfaces and the dependence of appearance on scale, viewing direction and illumination direction. At ne scale, surface variations cause local intensity variation or image texture. The appearance of this texture depends on both

. A probabilistic method for tracking 3D articulated human gures in monocular image sequences is presented. Within a Bayesian framework, we de ne a generative model of image appearance, a robust likelihood function based on image graylevel dierences, and a prior probability distribution over pose

. To fill this gap, our approach DecLiNe (an acronym for Decay of Links in Networks) aims to predict link decay in networks, based on structural analysis of corresponding graph models. In analogy to the link prediction problem, we show that anal-ysis of graph structures can help to identify indicators

of Markov localization is to maintain a probability density over the space of all locations of a robot in its environment. Our approach represents this space metrically, using a ne-grained grid to approximate densities. It is able to globally localize the robot from scratch and to recover from

model in these simulations. Random Waypoint is a simple model that may be applicable to some scenarios. However, we believe that it is not sufficient to capture some important mobility characteristics of scenarios in which MANETs may be deployed. Our framework aims to evaluate the impact of different

This paper presents a statistical, learned approach to finding names and other non- recursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the standard hidden Markov model. We present our justification for the problem and our approach, a detailed

the plethora of different but similar information systems which exist, and how the web unifies them, creating a single information space. We describe the difficulties of information sharing between colleagues, and the basic W3 model of hypertext and searchable indexes. We list the protocols used by W3

different sources, largely consistent with grain growth to larger sizes around older sources. We here present our coronagraphic images of these disks, and summarize our ongoing analysis and modeling efforts.

This paper explores the di¤erences and relative goodness of …t of two term structure models, the CIR two factor model and a two factor essentially a ¢ ne model, EA1(2). The latter model generates correlation between the factors and time-varying risk premia. However these characteristics increase