In this paper we start from a set of images obtained by the robot that is moving around in an environment. We present a method to automatically group the images into groups that c...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Webscale datasets. In this paper...
Michal Batko, Fabrizio Falchi, Claudio Lucchese, D...
We study the task of object part extraction and labeling, which seeks to understand objects beyond simply identifiying their bounding boxes. We start from bottom-up segmentation of...
—Current visual analytics systems provide users with the means to explore trends in their data. Linked views and interactive displays provide insight into correlations among peop...
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Ste...