111 search results - page 8 / 23 » Causal Graphical Models with Latent Variables: Learning and ... |
MM
2005
ACM
15 years 3 months ago
2005
ACM
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
54
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
UAI
2004
14 years 11 months ago
2004
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
79
Voted
PAMI
2010
14 years 8 months ago
2010
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...