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DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 8 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
ACSAC
1999
IEEE
13 years 11 months ago
Application-Level Isolation Using Data Inconsistency Detection
Recently, application-level isolation was introduced as an effective means of containing the damage that a suspicious user could inflict on data. In most cases, only a subset of t...
Amgad Fayad, Sushil Jajodia, Catherine D. McCollum
WSC
2008
13 years 9 months ago
A distribution-free tabular CUSUM chart for correlated data with automated variance estimation
We formulate and evaluate distribution-free statistical process control (SPC) charts for monitoring an autocorrelated process when a training data set is used to estimate the marg...
Joongsup Lee, Christos Alexopoulos, David Goldsman...
VISSYM
2003
13 years 8 months ago
Hierarchical Isosurface Segmentation Based on Discrete Curvature
A high-level approach to describe the characteristics of a surface is to segment it into regions of uniform curehavior and construct an abstract representation given by a (topolog...
Fabien Vivodtzev, Lars Linsen, Georges-Pierre Bonn...
RIVF
2007
13 years 9 months ago
On-line Boosting for Car Detection from Aerial Images
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....