In this paper a multi-modal method for human identification that exploits the discrimination power of several movement types performed from the same human is proposed. Utilizing a ...
Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
Background: The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been ...