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» Learning Probabilistic Models of Relational Structure
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128
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JCDL
2011
ACM
221views Education» more  JCDL 2011»
14 years 3 months ago
Integrating implicit structure visualization with authoring promotes ideation
We need to harness the growing wealth of information in digital libraries to support intellectual work involving creative and exploratory processes. Prior research on hypertext au...
Andrew M. Webb, Andruid Kerne
NIPS
2003
15 years 1 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
IJNS
2010
106views more  IJNS 2010»
14 years 11 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai
ICPR
2006
IEEE
16 years 1 months ago
Incremental Vehicle 3-D Modeling from Video
In this paper, we present a new model-based approach for building 3-D models of vehicles from color video provided by a traffic surveillance camera. We incrementally build 3D mode...
Bir Bhanu, Nirmalya Ghosh
102
Voted
ECCV
2010
Springer
15 years 4 months ago
Discovering Multipart Appearance Models from Captioned Images
Abstract. Even a relatively unstructured captioned image set depicting a variety of objects in cluttered scenes contains strong correlations between caption words and repeated visu...