Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
With the ever-increasing growth of data and information, ļ¬nding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval syste...
We propose a novel, computationally efļ¬cient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...