Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Systems combining the real and the virtual are becoming more and more prevalent. The Augmented Reality (AR) paradigm illustrates this trend. In comparison with traditional interact...
Abstract. In component-based programming, the programmer assembles applications from prefabricated components. The assembly process has two main steps: adapting a component by twea...
Background: Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledg...