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ECCV
2008
Springer
16 years 2 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
81
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HICSS
2006
IEEE
144views Biometrics» more  HICSS 2006»
15 years 6 months ago
Knowledge Transfer: Short-Circuiting the Learning Cycle?
Knowledge is considered to be a key organizational resource in the 21st century and the knowledge management ‘movement’ has alerted organizations to the fact that they should ...
Sue Newell, Robert D. Galliers
IWANN
2005
Springer
15 years 6 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
107
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EWSPT
2003
Springer
15 years 5 months ago
Lessons Learned and Recommendations from Two Large Norwegian SPI Programmes
: Software development is an experimental discipline, i.e. somewhat unpredictable. This suggests that software processes improvement should be based on the continuous iteration of ...
Reidar Conradi, Tore Dybå, Dag I. K. Sj&osla...
JMLR
2006
153views more  JMLR 2006»
15 years 19 days ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis