?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
We present “equiveillance” as a conceptual framework for understanding the balance between surveillance and sousveillance. In addition to this conceptual framework we also pre...
The current landscape for digital rights management (DRM) consists of various ad hoc technologies and platforms that largely focus on copy protection. The fragmented nature of the...
This paper shows how computational Riemannian manifold can be used to solve several problems in computer vision and graphics. Indeed, Voronoi segmentations and Delaunay graphs comp...