We present a novel method to improve word alignment quality and eventually the translation performance by producing and combining complementary word alignments for low-resource la...
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
One of the most challenging tasks a programmer can face is attempting to analyse and understand a legacy assembler system. Many features of assembler make analysis difficult, and ...
This paper describes a system to automatically segment the left ventricle in all slices and all phases of cardiac cine magnetic resonance datasets. After localizing the left ventri...
Marie-Pierre Jolly, Hui Xue, Leo Grady, Jens Gu...
The framework we adopted for customizing linguistic knowledge to individual application domains is an integration of symbolic and statistical approaches. In order to acquire domai...