We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Abstract— Verifying the accuracy of a passive measurementsbased inference technique under all possible network scenarios is a difficult challenge - the measurement point has lim...
Sharad Jaiswal, Gianluca Iannaccone, James F. Kuro...
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
Current systems for real-time distributed CSCW are largely rooted in traditional GUI-based groupware and voice/video conferencing methodologies. In these approaches, interactions ...