Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
This paper addresses the issue of provisioning end-to-end bandwidth guarantees across multiple Autonomous Systems (ASes). We first review a cascaded model for negotiating and est...
Kin-Hon Ho, Michael P. Howarth, Ning Wang, George ...
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
This paper describes a simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of tradeoff solutions for ...
: Indexing video content is one of the most important problems in video databases. In this paper we present linear time and space algorithms for handling video metadata that repres...
Spyros Sioutas, Kostas Tsichlas, Bill Vassiliadis,...