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CVPR
2003
IEEE
14 years 8 months ago
Nonparametric Belief Propagation
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
14 years 8 hour ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling
SIAMSC
2008
145views more  SIAMSC 2008»
13 years 6 months ago
Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal
An effective 2-phase method for removing impulse noise was recently proposed. Its phase 1 identifies noisy pixel candidates by using median-type filters. Then in phase 2, it resto...
Raymond H. Chan, Ke Chen 0002
GLOBECOM
2006
IEEE
14 years 24 days ago
Feedback Capacity of Stationary Sources over Gaussian Intersymbol Interference Channels
Abstract— We consider discrete-time channels with finitelength intersymbol interference and additive Gaussian noise. The channel noise is considered to be a stationary ARMA (aut...
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
ICIP
2005
IEEE
14 years 8 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...