In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
We introduce the notion of a data topology and the problem of topology search over databases. A data topology summarizes the set of all possible relationships that connect a given...
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Multi-hop cluster hierarchy has been presented as an organization for large wireless sensor networks (WSNs) that can provide scalable routing, data aggregation, and querying. In th...