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ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 7 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
SIGSOFT
2007
ACM
14 years 9 months ago
Differential testing: a new approach to change detection
Regression testing, as it's commonly practiced, is unsound due to inconsistent test repair and test addition. This paper presents a new technique, differential testing, that ...
Robert B. Evans, Alberto Savoia
ICPR
2006
IEEE
14 years 2 months ago
Change detection using joint intensity histogram
In the present paper, a method for detecting changes between two images of the same scene taken at different times using their joint intensity histogram is proposed. First, the jo...
Yasuyo Kita
DSOM
2003
Springer
14 years 1 months ago
Visual-Based Anomaly Detection for BGP Origin AS Change (OASC) Events
Instead of relying completely on machine intelligence in anomaly event analysis and correlation, in this paper, we take one step back and investigate the possibility of a human-int...
Soon Tee Teoh, Kwan-Liu Ma, Shyhtsun Felix Wu, Dan...
DAWAK
2003
Springer
14 years 1 months ago
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin
In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...