Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
Without a well formulated and structured question, it can be very difficult and time consuming for physicians to identify appropriate resources and search for the best available ev...
: Tracking moving objects is one of the most common requirements for many location-based applications. The location of a moving object changes continuously but the database locatio...
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...