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» Bayesian Structure from Motion
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153
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BMCBI
2011
14 years 7 months ago
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Kyle C. Chipman, Ambuj K. Singh
79
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CVPR
2010
IEEE
15 years 9 months ago
Probabilistic Temporal Inference on Reconstructed 3D Scenes
Modern structure from motion techniques are capable of building city-scale 3D reconstructions from large image collections, but have mostly ignored the problem of largescale struc...
Grant Schindler, Frank Dellaert
116
Voted
BMCBI
2008
118views more  BMCBI 2008»
15 years 28 days ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
CVIU
2007
154views more  CVIU 2007»
15 years 24 days ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
98
Voted
TCSV
2010
14 years 7 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang