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» Approximate Marginals in Latent Gaussian Models
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ECCV
2008
Springer
15 years 22 days ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
ICML
2004
IEEE
14 years 11 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
NIPS
2000
14 years 6 days ago
Analysis of Bit Error Probability of Direct-Sequence CDMA Multiuser Demodulators
We analyze the bit error probability of multiuser demodulators for directsequence binary phase-shift-keying (DS/BPSK) CDMA channel with additive gaussian noise. The problem of mul...
Toshiyuki Tanaka
IJAR
2006
98views more  IJAR 2006»
13 years 11 months ago
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
Barry R. Cobb, Prakash P. Shenoy
TCOM
2010
141views more  TCOM 2010»
13 years 5 months ago
Mutual Information Statistics and Beamforming Performance Analysis of Optimized LoS MIMO Systems
Abstract--This paper provides a systematic mutual information (MI) and multichannel beamforming (MBF) characterization of optimized multiple-input multiple-output (MIMO) communicat...
Michail Matthaiou, Paul de Kerret, George K. Karag...