Web portals today offer a variety of content and services to their users. This content can be split into various categories and usually content semantically related is placed in t...
Christos Bouras, Giorgos Kounenis, Ioannis Misedak...
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
—We present an algorithm for curve skeleton extraction via Laplacian-based contraction. Our algorithm can be applied to surfaces with boundaries, polygon soups, and point clouds....
Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Z...
: Computer Assisted Surgery seeks data from various sources related to surgical knowledge, which is mostly represented in the form of discrete databases. However, databases serve a...