We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
In this paper, we introduce a framework for secure two-party (S2P) computations, which we call bureaucratic computing, and we demonstrate its efficiency by designing practical S2P...
Guan Wang, Tongbo Luo, Michael T. Goodrich, Wenlia...