We address the problem of tight XML schemas and propose regular tree automata to model XML data. We show that the tree automata model is more powerful that the XML DTDs and is clo...
We provide a principle for semi-supervised learning based on optimizing the rate of communicating labels for unlabeled points with side information. The side information is expres...
This is the first year that the Dalhousie University participated in TREC. We submitted three runs for the QA track. Our evaluation results are generally below the median (with on...
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
This paper proposes a novel method for global registration based on matching 3D medial structures of unorganized point clouds or triangulated meshes. Most practical known methods ...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...