We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
We propose an algorithm that simultaneously extracts
disparities and alpha matting information given a stereo
image pair. Our method divides the reference image into
a set of ov...
Michael Bleyer (Vienna University of Technology), ...
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...