Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
In spatio-temporal applications, moving objects detect their locations via location-aware devices and update their locations continuously to the server. With the ubiquity and mass...
Long-Van Nguyen-Dinh, Walid G. Aref, Mohamed F. Mo...
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
Abstract: The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an increasing rate. Distribution is a key solution to overcome this data...
Fabian Groffen, Martin L. Kersten, Stefan Manegold
Spatio-temporal databases deal with geometries changing over time. In general, geometries do not only change discretely but continuously; hence we are dealing with moving objects....