A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
In this paper, we propose a novel method for fast nearest neighbors retrieval in non-Euclidean and non-metric spaces. We organize the data into a hierarchical fashion that preserv...
The use of floating car data is an interesting method to monitor traffic. Vehicles act as local traffic sensors and data from individual vehicles is aggregated into higher-leve...
Robrecht Haesevoets, Danny Weyns, Tom Holvoet, Wou...
In this paper, we present a hierarchical Data Cache Architecture called DCA to effectively slash local interconnect traffic and thus boost the storage server performance. DCA is ...