Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
The relationship between the error propagation effect and the hypothesis coef?cients of the multi-hypothesis motion compensated prediction (MHMCP) is analyzed in this work. MHMCP ...
Scenes with cast shadows can produce complex sets of
images. These images cannot be well approximated by lowdimensional
linear subspaces. However, in this paper we
show that the...
Facial expression recognition has potential applications in different aspects of day-to-day life not yet realized due to absence of effective expression recognition techniques. Th...
The overhead and computer projectors have become an essential element to the classroom and corporate settings. Users of web-based classes and conferences would like to have access...
Michael N. Wallick, Niels da Vitoria Lobo, Mubarak...