Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
– This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term “change analysis” to emphasize the intelligence value obtained ...
Abstract—Automation has long been recognized as an important goal in AFM (Atomic Force Microscope) nanomanipulation research. For the precise manipulation of small particles with...
Babak Mokaberi, Jaehong Yun, Michael Wang, Aristid...
We describe a methodology for creating composite web services, a key ingredient in spatial data infrastructure (SDI) applications, which we demonstrate on an emergency management ...
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...