9719 search results - page 292 / 1944 » Inference for Multiplicative Models |
130
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
163
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
153
Voted
KDD
2012
ACM
13 years 6 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
133
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IPMI
2009
Springer
16 years 4 months ago
2009
Springer
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
149
Voted
CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...