A wide variety of techniques and approaches are needed to understand and improve software development processes. The critical research problem is supporting the move from completel...
We consider the use of meta-data and/or video-domain methods to detect similar videos on the web. Meta-data is extracted from the textual and hyperlink information associated with...
—Nuclear norm minimization (NNM) has recently gained attention for its use in rank minimization problems. In this paper, we define weak, sectional and strong recovery for NNM to...
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Semantic similarity measurement is a key methodology in various domains ranging from cognitive science to geographic information retrieval on the Web. Meaningful notions of similar...