GAUSSIAN MARKOV RANDOM FIELD MODELS FOR SURVEILLANCE ERROR AND GEOGRAPHIC BOUNDARIES

We introduce fast millimeter-wave base station (BS) and its antenna sector selection for user equipment based on its location. Using a conditional random field inference model with specially designed parameters, which are robust to change of environment, InferBeam allows the use of measurement samples on best beam selection at a small number of locations to infer the rest dynamically. Compared ...

We describe Dsolve, a system for the segmentation of morphologically complex German words into their constituent morphs. Our approach treats morphological segmentation as a classification task, in which the locations and types of morph boundaries are predicted by a Conditional Random Field model trained from manually annotated data. The prediction of morph-boundary types in addition to their lo...

Using reconfigurable, static random-access memory (SRAM) based field-programmable gate arrays (FPGAs) for space-based computation has been an exciting area of research for the past decade. In comparison with traditional radiation-hardened electronics, these devices would allow spacecrafts to be more adaptive and responsive to changing mission needs. Unfortunately, all commercially available SRA...

Motivated by phrase-based translation research, we present a transliteration system where characters are grouped into substrings to be mapped atomically into the target language. We show how this substring representation can be incorporated into a Conditional Random Field model that uses local context and phonemic information.

RÉSUMÉ. Le travail présenté dans cet article vise à extraire automatiquement certaines caractéristiques de produits à partir de descriptions textuelles fournies par un site marchand. La constitution d’un corpus de référence annoté révèle certains problèmes, provenant à la fois des textes et des particularités de la tâche. Pour l’aborder, nous avons testé deux approches : une méthode d’extractio...

Intonation phrase length distribution is important information for prosodic break prediction. However, existing CRF frameworks cannot make full use of it. An expanded CRF is proposed in this paper to tackle this problem. Its lattice carries the location of previous intonation phrase (L3) break, and consequently makes it possible to support various dynamic features, such as the number of syllabl...

Article history: Received 18 May 2007 Received in revised form 1 October 2008 Accepted 24 May 2009