In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Caching, symmetries, and search with decomposition are powerful techniques for pruning the search space of constraint problems. In this paper we present an innovative way of effi...
This paper presents an OMNeT-based Framework to simulate large complex storage networks, with its corresponding underlying subsystems (I/O, Networking, etc.). With this Framework,...
Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment...
Bas Boom, Luuk J. Spreeuwers, Raymond N. J. Veldhu...
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...