4 citations · 6 across the 3 of their papers we have counts for
3 papers
Variational Learning in Mixed-State Dynamic Graphical Models
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
Many real-valued stochastic time-series are locally linear (Gassian), but globally non-linear. For example, the trajectory of a human hand gesture can be viewed as a linear dynamic…
Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images
Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic
We propose a novel method for automatic pain intensity estimation from facial images based on the framework of kernel Conditional Ordinal Random Fields (KCORF). We extend this fram…
Learning Hypergraph Labeling for Feature Matching
Toufiq Parag, Vladimir Pavlovic, Ahmed Elgammal
This study poses the feature correspondence problem as a hypergraph node labeling problem. Candidate feature matches and their subsets (usually of size larger than two) are conside…