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CDC
2015
IEEE
4 years 7 months ago
Formulating event-based critical observations in diagnostic problems
We claim that in scenarios involving a human operator with responsibility over systems being monitored by diagnoser, presenting said operator with a concise set of observations ca...
Cody James Christopher, Alban Grastien
KI
2009
Springer
10 years 6 months ago
Constraint-Based Integration of Plan Tracking and Prognosis for Autonomous Production
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
Paul Maier, Martin Sachenbacher, Thomas Rühr,...
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
10 years 12 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
AAAI
2008
10 years 1 months ago
A Scalable Jointree Algorithm for Diagnosability
Diagnosability is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. An unobservable fault event in...
Anika Schumann, Jinbo Huang
TMI
1998
134views more  TMI 1998»
9 years 11 months ago
Speckle Reduction and Contrast Enhancement of Echocardiograms via Multiscale Nonlinear Processing
Abstract— This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. Within a framework of multiscale wavelet analysis, we apply...
Xuli Zong, Andrew Laine, Edward A. Geiser
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