Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
This work seeks to strengthen interaction within a research community through a centrally-located physical device that presents online presence information in a semi-public space....
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
Capturing knowledge from free-form evaluative texts about an entity is a challenging task. New techniques of feature extraction, polarity determination and strength evaluation hav...