In this paper, a system for Named Entity Recognition in the Open domain (NERO) is described. It is concerned with recognition of various types of entity, types that will be approp...
An enhanced self-organizing incremental neural network (ESOINN) is proposed to accomplish online unsupervised learning tasks. It improves the self-organizing incremental neural ne...
The choice of a good annealing schedule is necessary for good performance of simulated annealing for combinatorial optimization problems. In this paper, we pose the simulated anne...
Modeling and recognizing landmarks at world-scale is a
useful yet challenging task. There exists no readily available
list of worldwide landmarks. Obtaining reliable visual
mode...
Yantao Zheng, Ming Zhao 0003, Yang Song, Hartwig A...
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...