We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras. The paper builds upon existing methods for trac...
Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using aut...
The concept of pattern, meant as an interesting knowledge artifact extracted from data, is considered to be a an effective answer to the advanced analysis requirements emerging in ...
E-business workloads are quite complex as demonstrated by the hierarchical workload characterization discussed here. While these features may pose challenges to performance model ...