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» Components for Object Detection and Identification
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ICPR
2004
IEEE
14 years 8 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
MICCAI
2003
Springer
14 years 8 months ago
Exploratory Identification of Cardiac Noise in fMRI Images
A fast exploratory framework for extracting cardiac noise signals contained in rest-case fMRI images is presented. Highly autocorrelated, independent components of the input time ...
Lilla Zöllei, Lawrence P. Panych, W. Eric L. ...
ASSETS
2006
ACM
14 years 1 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
ETS
2006
IEEE
122views Hardware» more  ETS 2006»
13 years 11 months ago
Fault Identification in Reconfigurable Carry Lookahead Adders Targeting Nanoelectronic Fabrics
Online repair through reconfiguration is a particularly advantageous approach in the nanoelectronic environment since reconfigurability is naturally supported by the devices. Howe...
Wenjing Rao, Alex Orailoglu, Ramesh Karri
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 7 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...