1027 search results - page 107 / 206 » Learning Similar Tasks From Observation and Practice |
144
Voted
IJAR
2010
15 years 2 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...
119
Voted
CVPR
2007
IEEE
16 years 5 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...
144
Voted
CVPR
2012
IEEE
13 years 6 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 ...
170
Voted
AAAI
2011
14 years 3 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 ...
106
Voted
HICSS
2005
IEEE
15 years 9 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...