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JMLR
2010
136views more  JMLR 2010»
14 years 7 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
116
Voted
MVA
2002
195views Computer Vision» more  MVA 2002»
15 years 11 days ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
HICSS
2008
IEEE
102views Biometrics» more  HICSS 2008»
15 years 7 months ago
Chaos Theory as a Model for Interpreting Weblog Traffic
Weblogs are becoming increasingly popular and bloggers desire traffic. This study seeks to give an overall view of weblog systems including factors that affect weblog traffic. Key...
Xitong Guo, Doug Vogel, Zhongyun Zhou, Xi Zhang, H...
131
Voted
ICML
2000
IEEE
16 years 1 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
119
Voted
CEEMAS
2003
Springer
15 years 6 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes