113 search results - page 14 / 23 » Lifted Probabilistic Inference for Asymmetric Graphical Mode... |
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
In this paper, we study the problem of social relational inference using visual concepts which serve as indicators of actors’ social interactions. While social network analysis ...
IJAR
2010
14 years 9 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
ML
2006
ACM
14 years 10 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
113
click to vote
FTCGV
2011
14 years 2 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
116
click to vote
AI
2011
Springer
14 years 2 months ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...