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ACL
2011
14 years 10 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky
FLAIRS
2001
15 years 8 months ago
Maximal Prime Subgraph Decomposition of Bayesian Networks
A maximal prime subgraph decomposition junction tree (MPD-JT) is a useful computational structure that facilitates lazy propagation in Bayesian networks (BNs). A graphical method ...
Kristian G. Olesen, Anders L. Madsen
CVPR
1999
IEEE
16 years 8 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
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...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
16 years 1 months ago
Developing visual sensing strategies through next best view planning
— We propose an approach for acquiring geometric 3D models using cameras mounted on autonomous vehicles and robots. Our method uses structure from motion techniques from computer...
Enrique Dunn, Jur P. van den Berg, Jan-Michael Fra...
BMCBI
2008
144views more  BMCBI 2008»
15 years 6 months ago
Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses
Background: The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising te...
Olivo Miotto, Tin Wee Tan, Vladimir Brusic