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IJAR
2008
119views more  IJAR 2008»
13 years 7 months ago
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications
We consider here the case where our knowledge is partial and based on a betting density function which is n-dimensional Gaussian. The explicit formulation of the least committed b...
Francois Caron, Branko Ristic, Emmanuel Duflos, Ph...
ICIAR
2010
Springer
13 years 6 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
JMLR
2010
134views more  JMLR 2010»
13 years 3 months ago
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Analysis of causal effects between continuous-valued variables typically uses either autoregressive models or structural equation models with instantaneous effects. Estimation of ...
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Pa...
TSP
2010
13 years 3 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
CISS
2010
IEEE
13 years 14 days ago
On Gaussian MIMO compound wiretap channels
— We study the two-user one-eavesdropper discrete memoryless compound wiretap channel, where the transmitter sends a common confidential message to both users, which needs to be...
Ersen Ekrem, Sennur Ulukus