We explore how features based on syntactic dependency relations can be utilized to improve performance on opinion mining. Using a transformation of dependency relation triples, we...
Abstract. We present an algebraic solution to both direct and featurebased registration of diffusion tensor images under various local deformation models. In the direct case, we sh...
This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related feat...
Software product lines (PLs) are large, complex systems, demanding high maintainability and enhanced flexibility. Nonetheless, in the state of the art PL methods, features are sca...
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...