79 search results - page 3 / 16 » A Bayesian network framework for reject inference |
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
IJPRAI
2000
13 years 7 months ago
2000
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
ROMAN
2007
IEEE
14 years 1 months ago
2007
IEEE
— 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...
AAAI
1998
13 years 9 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
JMLR
2008
13 years 7 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...