Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Abstract. Semantic tools such as triple stores, reasoners and query engines tend to be designed for large-scale applications. However, with the rise of sensor networks, smart-phone...
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...
Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan,...
A model capturing the data manipulation capabilities of a large class of methods in ohjectoriented databases is proposed and investsigated. The model uses a deterministic, paralle...