We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints ...
The problem of distributed Bayesian estimation is considered in the context of a wireless sensor network. The Bayesian estimation performance is analyzed in terms of the expected F...
This paper introduces a financial hedging model for global environment risks. Our approach is based on portfolio insurance under hedging constraints. Investors are assumed to maxi...
Shape-based registration is a process for estimating the transformation between two shape representations of an object. It is used in many image-guided surgical systems to establis...
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...