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» Density Estimation Using Mixtures of Mixtures of Gaussians
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NIPS
2008
13 years 10 months ago
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
ICASSP
2011
IEEE
13 years 23 days ago
Exploiting multipath for blind source separation with sensor arrays
The problem of blind source separation by spatial processing is considered for convolutive mixtures of narrowband sources received by a sensor array. Multipath propagation is due ...
Giuseppe A. Fabrizio, Alfonso Farina
ICCCN
2008
IEEE
14 years 3 months ago
A Preliminary Look at the Privacy of SSH Tunnels
— Secure Shell (SSH) tunnels are commonly used to provide two types of privacy protection to clear-text application protocols. First and foremost, they aim at protecting the priv...
Maurizio Dusi, Francesco Gringoli, Luca Salgarelli
MLDM
2005
Springer
14 years 2 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
CONEXT
2006
ACM
14 years 24 days ago
Early application identification
The automatic detection of applications associated with network traffic is an essential step for network security and traffic engineering. Unfortunately, simple port-based classif...
Laurent Bernaille, Renata Teixeira, Kavé Sa...