Coreferential information of a candidate, such as the properties of its antecedents, is important for pronoun resolution because it reflects the salience of the candidate in the l...
Xiaofeng Yang, Jian Su, Guodong Zhou, Chew Lim Tan
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
Previous studies have shown that software code attributes, such as lines of source code, and history information, such as the number of code changes and the number of faults in pr...
Yonghee Shin, Robert M. Bell, Thomas J. Ostrand, E...
Abstract: Starting from the Rational Unified Process RUP and the ARIS life cycle model the ARIS Unified Information System Development Process AUP is designed. Similar as the RUP i...
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...