This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
A self-stabilizing protocol is a brilliant framework for fault tolerance. It can recover from any number and any type of transient faults and eventually converge to its intended b...
Abstract— In this paper, a performance analysis of a dualbranch switched diversity system operating on identically distributed Nakagami-m fading channels is presented. An adaptiv...