In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
This work addresses the problem of processing continuous nearest neighbor (NN ) queries for moving objects trajectories when the exact position of a given object at a particular t...
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...
The main motivation for applying capacity planning techniques to the design of Internet-based video services is that very often these systems incur significant delays that decrea...
Giuliano Casale, Paolo Cremonesi, Giuseppe Serazzi...
Image Cube Trajectory (ICT) Analysis is a new and robust method to estimate the 3D structure of a scene from a set of 2D images. For a moving camera each 3D point is represented b...