Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Recently, data-driven speech technologies have been widely used to build speech user interfaces. However, developing and managing data-driven spoken dialog systems are laborious a...
Sangkeun Jung, Cheongjae Lee, Seokhwan Kim, Gary G...
Microscopy imaging often suffers from limited depth-offocus. However, the specimen can be `optically sectioned' by moving the object along the optical axis; different areas a...
Brigitte Forster, Dimitri Van De Ville, Jesse Bere...