VT (Viterbi training), or hard EM, is an efficient way of parameter learning for probabilistic models with hidden variables. Given an observation y , it searches for a state of hidden variables x that maximizes p(x , y | θ) by coordinate ascent on parameters θ and x . In this paper we introduce VT to PRISM, a logic-based probabilistic modeling system for generative models. VT improves PRISM in ...

This article presents technical work done with DAICHI ALOS PRISM data in order to assess the feasibility and quality of Digital Elevation Model extracted from ALOS PRISM triplet of images. Thanks to its configuration, the PRISM instrument is capable of simultaneous stereoscopic acquisition of the observed landscape which should easier the automatic processing of such data for Digital Elevation ...

Patients with hemispatial neglect (‘neglect’) following a brain lesion show difficulty responding or orienting to objects and events on the left side of space. Substantial evidence supports the use of a sensorimotor training technique called prism adaptation as a treatment for neglect. Reaching for visual targets viewed through prismatic lenses that induce a rightward shift in the visual image ...

We propose an excitation method for the localization of photons at the apex of a metal coated axicon prism. The cone angle of the prism and the metallic film thickness are designed to match the excitation conditions for surface plasmons. The plasmons propagate along the sides of the prism and converge at its apex. The resulting nanofocusing was investigated by simulating the intensity distribut...

We analytically relate the giant Goos-Hänchen shift, observed at the interface of a high refractive index prism and a waveguide structure with an arbitrary refractive index profile, to the spatial resonance phenomenon. The proximity effect of the high refractive index prism on modal properties of the waveguide is discussed, and the observed shift is expressed in terms of proper and improper ele...

The PRISM web server enables fast and accurate prediction of protein-protein interactions (PPIs). The prediction algorithm is knowledge-based. It combines structural similarity and accounts for evolutionary conservation in the template interfaces. The predicted models are stored in its repository. Given two protein structures, PRISM will provide a structural model of their complex if a matching...

The space-time prism has been widely used to model individual movements with respect to both space and time. It demarcates all locations that a mobile object can occupy given the origin and destination anchors, the earliest origin departure time, the latest destination arrival time, and the maximum allowed travel 1970, Lenntorp 1976). Although the prism boundary has been widely recognized and a...

Visuomotor prism adaptation has been found to induce a lateral bias of spatial attention in chronic hemispatial neglect patients. Here, two experiments were conducted to explore the effects of 10 degrees prism adaptation on visual search tasks and standard visual inattention tests. Baselines and intervention effects were measured on separate days for all patients. The first experiment explored ...

AIMS To assess the impact of two paediatric intensive care unit retrieval teams on the performance of three mortality risk scoring systems: pre-ICU PRISM, PIM, and PRISM II. METHODS A total of 928 critically ill children retrieved for intensive care from district general hospitals in the south east of England (crude mortality 7.8%) were studied. RESULTS Risk stratification was similar betwe...

To test the effect of double vision on postural stability, we measured postural stability by electric stabilometry before prism-wearing and immediately, 15, 30, and 60min after continuous prism-wearing with 6 prism diopters in total (a 3-prism-diopter prism placed with the base up in front of one eye and with the base down in front of the other eye) in 20 normal adult individuals with their eye...