Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
This paper presents a novel method for designing compact yet efficient hardware implementations of the Tate pairing over supersingular curves in small characteristic. Since such cu...
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
Clock and data recovery circuits are essential components in communication systems. They directly influence the bit-error-rate performance of communication links. It is desirable...