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IJCNN
2000
IEEE
15 years 4 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin
WIAMIS
2009
IEEE
15 years 6 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
ICC
2007
IEEE
150views Communications» more  ICC 2007»
15 years 6 months ago
Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems
— Blind and semiblind adaptive schemes are proposed for joint maximum likelihood (ML) channel estimation and data detection for multiple-input multiple-output (MIMO) systems. The...
Mohammed Abuthinien, Sheng Chen, Andreas Wolfgang,...
ICDIM
2010
IEEE
14 years 9 months ago
Detecting incompleteness in access control policies using data classification schemes
In a set of access control policies, incompleteness is the existence of situations for which no policy applies. Some of these situations can be exploited by attackers, to obtain un...
Riaz Ahmed Shaikh, Kamel Adi, Luigi Logrippo, Serg...
ICASSP
2011
IEEE
14 years 3 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...