We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Many problems in computer graphics and computer vision require accurate global visibility information. Previous approaches have typically been complicated to implement and numeric...
The mining of frequent patterns in databases has been studied for several years. However, the real-world data tends to be dirty and frequent pattern mining which extracts patterns...
A term t is called a template of terms t1 and t2 iff t1 = t1 and t2 = t2, for some substitutions 1 and 2. A template t of t1 and t2 is called the most specific iff for any template...
Peter E. Bulychev, Egor V. Kostylev, Vladimir A. Z...
Abstract--In this paper, we present an efficient graph-based evolutionary optimization technique called evolutionary graph generation (EGG) and the proposed approach is applied to ...