We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
A novel method is proposed to calculate the coefficients of adaptive interpolation filter used in hybrid video coders for improving the coding efficiency. The proposed algorithm f...
A significant problem encounteredwhen building Augmented Reality (AR) systems is that all spatial knowledge about the world has uncertainty associated with it. This uncertainty m...
Enylton Machado Coelho, Blair MacIntyre, Simon Jul...
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...