This paper describes the design of a metadata model for capturing presentations developed as part of the VACE project (Video and Audio Capturing and Embedding). VACE is a modular,...
Abstract. This paper elaborates on scenarios for collaborative knowledge creation in the spirit of the trialogical learning paradigm. According to these scenarios the group knowled...
— Visible Past proposes a new class of interdisciplinary learning, documenting, knowledge production, and discovery experiences that are anchored in space and time indicators. Th...
We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We...
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...