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» Causal inference using the algorithmic Markov condition
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NAACL
2010
15 years 2 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
CIKM
2008
Springer
15 years 6 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
CVPR
1999
IEEE
16 years 6 months ago
Extracting Textured Vertical Facades From Controlled Close-Range Imagery
We are developing a system to extract geodetic, textured CAD models from thousands of initially uncontrolled, close-range ground and aerial images of urban scenes. Here we describ...
Satyan R. Coorg, Seth J. Teller
WFLP
2009
Springer
239views Algorithms» more  WFLP 2009»
15 years 11 months ago
Fast and Accurate Strong Termination Analysis with an Application to Partial Evaluation
A logic program strongly terminates if it terminates for any selection rule. Clearly, considering a particular selection rule—like Prolog’s leftmost selection rule—allows one...
Michael Leuschel, Salvador Tamarit, Germán ...
SIGGRAPH
2000
ACM
15 years 9 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth