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ACCV
2010
Springer
14 years 4 months ago
2010
Springer
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
ECAI
2004
Springer
15 years 3 months ago
2004
Springer
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
LSO
2004
Springer
15 years 3 months ago
2004
Springer
The need for organizational learning support is common among all software development companies but is not addressed by agile software methods practitioners. The typical Experience...
JMLR
2008
14 years 9 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...