1027 search results - page 107 / 206 » Learning Similar Tasks From Observation and Practice |
IJAR
2010
13 years 6 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
AAAI
2011
12 years 7 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
HICSS
2005
IEEE
14 years 1 months ago
2005
IEEE
We present a method for testing subject’s performance in a realistic (end-to-end) information understanding task— rapid understanding of large document collections—and discu...