This paper proposes GenericDiff, a general framework for model comparison. The main idea is to separate the specification of domain-specific model properties and syntax from the g...
"I wrote this text for a one semester course at the sophomore-junior level. Our experience with
students taking our junior physics courses is that even if they've had th...
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...