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FTCS
1993
111views more  FTCS 1993»
15 years 8 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
BMCBI
2010
65views more  BMCBI 2010»
15 years 6 months ago
VIPR: A probabilistic algorithm for analysis of microbial detection microarrays
Background: All infectious disease oriented clinical diagnostic assays in use today focus on detecting the presence of a single, well defined target agent or a set of agents. In r...
Adam F. Allred, Guang Wu, Tuya Wulan, Kael F. Fisc...
IJCV
1998
238views more  IJCV 1998»
15 years 6 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
CIVR
2007
Springer
273views Image Analysis» more  CIVR 2007»
16 years 26 days ago
Scalable near identical image and shot detection
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...
SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
16 years 7 days ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...