4 search results - page 1 / 1 » Random attributed graphs for statistical inference from cont... |
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
CSDA
2010
13 years 4 months ago
2010
Abstract: Fusion of information from graph features and content can provide superior inference for an anomaly detection task, compared to the corresponding content-only or graph fe...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...