Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
A new data structure for representing the color of rays from multiple-view images is presented. The structure is a hexagonal tessellation generated from a buckyball. Using the str...
We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the ...
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...