This paper presents a method of minutiae based fingerprint matching that is robust to deformations and does not do fingerprint alignment. It concentrates on comparing rotation and ...
We present a quantitative evaluation of one well-known word alignment algorithm, as well as an analysis of frequent errors in terms of this model's underlying assumptions. De...
Aligning ontologies is a crucial and tedious task. Matching algorithms and tools provide support to facilitate the task of the user in defining correspondences between ontologies ...
The problem of interference alignment in time-varying MIMO interference channels is considered. To reduce complexity, an adaptive algorithm for beam vector design is proposed base...
Heejung Yu, Youngchul Sung, Haksoo Kim, Yong Hoon ...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...