This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising s...
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
The paper reports on an experiment to provide the Erlang programming language with a tool package for convenient trace generation, collection and to support analysis of traces usi...
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...
Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey ...