We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
This paper presents a method to convert vector graphics into tactile representations for the blind. Generating tactile pictures from vector graphics is an important effort to bri...