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» Eliminating False Positives in Crosstalk Noise Analysis
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ICPR
2008
IEEE
14 years 2 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...
BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
A direct comparison of protein interaction confidence assignment schemes
Background: Recent technological advances have enabled high-throughput measurements of protein-protein interactions in the cell, producing large protein interaction networks for v...
Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded S...
BMCBI
2007
145views more  BMCBI 2007»
13 years 7 months ago
The utility of MAS5 expression summary and detection call algorithms
Background: Used alone, the MAS5.0 algorithm for generating expression summaries has been criticized for high False Positive rates resulting from exaggerated variance at low inten...
Stuart D. Pepper, Emma K. Saunders, Laura E. Edwar...
IMC
2005
ACM
14 years 1 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li