We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
Position information has been proved to be very effective in document summarization, especially in generic summarization. Existing approaches mostly consider the information of se...
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
UN/CEFACT’s Modelling Methodology (UMM) is used to analyze and design B2B business processes. We extend UMM by a constraint mechanism for adding business environment-specific co...
This paper describes a feature modelling technique aimed at modelling the software assets behind a product family. The proposed technique is distinctive in five respects. First, it...
Vaclav Cechticky, Alessandro Pasetti, O. Rohlik, W...