We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
SSTA has received a considerable amount of attention in recent years. However, it is a general rule that any approach can only be as accurate as the underlying models. Thus, varia...
Brian Cline, Kaviraj Chopra, David Blaauw, Andres ...
We develop a detailed approach to study how mobilityimpacts the performance of reactive MANET routing protocols. In particular we examine how the statistics of path durations inclu...
Narayanan Sadagopan, Fan Bai, Bhaskar Krishnamacha...
Statistical physics, computer simulation and discrete mathematics are intimately related through the study of shared lattice models. These models lie at the foundation of all thre...
To facilitate more meaningful interpretation considering the internal interdependency relationships between data values, a new form of high-order (multiple-valued) pattern known a...