Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
The urban transit routing problem (UTRP) is NP-Hard and involves devising routes for public transport systems. It is a highly complex multiply constrained problem and the evaluati...
We propose a method to count and estimate the mixing directions in an underdetermined multichannel mixture. The approach is based on the hypothesis that in the neighbourhood of som...