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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 3 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 7 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
ESANN
2000
13 years 10 months ago
Parametric approach to blind deconvolution of nonlinear channels
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
Jordi Solé i Casals, Anisse Taleb, Christia...
AAAI
1994
13 years 10 months ago
Forming Beliefs about a Changing World
The situation calculus is a popular technique for reasoning about action and change. However, its restriction to a firstorder syntax and pure deductive reasoning makes it unsuitab...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
CADE
2008
Springer
13 years 10 months ago
LogAnswer - A Deduction-Based Question Answering System (System Description)
LogAnswer is an open domain question answering system which employs an automated theorem prover to infer correct replies to natural language questions. For this purpose LogAnswer o...
Ulrich Furbach, Ingo Glöckner, Hermann Helbig...