Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
In this paper, we propose a method for shape-similarity search of 3D polygonal-mesh models. The system accepts triangular meshes, but tolerates degenerated polygons, disconnected ...
Semantic similarity measurement gained attention over the last years as a non-standard inference service for various kinds of knowledge representations including description logics...