1450 search results - page 117 / 290 » Complexity of Inference in Graphical Models |
144
Voted
UAI
2008
15 years 4 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
125
Voted
UAI
2004
15 years 3 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. ...
146
Voted
AAAI
2008
15 years 4 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
145
Voted
CVIU
2006
15 years 2 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
140
Voted
ACCV
2010
Springer
15 years 4 months ago
2010
Springer
Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surve...