We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
This paper reports two novel algorithms based on time-modulo reconstruction method intended for detection of the parametric faults in analogue-to-digital converters (ADC). In both ...
Xiaoqin Sheng, Hans G. Kerkhoff, Amir Zjajo, Guido...
: Networked systems that gather sensor data in order to react to phenomena in their surroundings are faced with a growing need for adaptive behavior to operate in dynamically chang...
A number of strategies have been proposed for state-based class testing. An important proposal was made by Chow [5] and adapted by Binder [3]: It consists in deriving test sequenc...
Giuliano Antoniol, Lionel C. Briand, Massimiliano ...
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...