126 search results - page 6 / 26 » Discriminative Random Fields for Behavior Modeling |
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
ICB
2009
Springer
14 years 3 months ago
2009
Springer
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...