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» Stochastic Processes for Canonical Correlation Analysis
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ICASSP
2011
IEEE
12 years 8 months ago
On the ergodic capacity of jointly-correlated rician Fading MIMO channels
—In this paper, we study the capacity-achieving input covariance matrices for the jointly-correlated (or the Weichselberger) Rician fading multiple-input multiple-output (MIMO) a...
Chao-Kai Wen, Shi Jin, Kai-Kit Wong, Jung-Chieh Ch...
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
EOR
2007
101views more  EOR 2007»
13 years 4 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
CORR
2006
Springer
141views Education» more  CORR 2006»
13 years 4 months ago
Ideas by Statistical Mechanics (ISM)
Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interac...
Lester Ingber
BMCBI
2008
95views more  BMCBI 2008»
13 years 4 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri