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» Identifying graphs from noisy and incomplete data
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BMCBI
2007
127views more  BMCBI 2007»
13 years 7 months ago
Characterization of protein-interaction networks in tumors
Background: Analyzing differential-gene-expression data in the context of protein-interaction networks (PINs) yields information on the functional cellular status. PINs can be for...
Alexander Platzer, Paul Perco, Arno Lukas, Bernd M...
ICIP
2001
IEEE
14 years 9 months ago
Video similarity detection with video signature clustering
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. We have previously proposed a com...
Sen-Ching S. Cheung, Avideh Zakhor
CIKM
2006
Springer
13 years 11 months ago
On the structural properties of massive telecom call graphs: findings and implications
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
Amit Anil Nanavati, Siva Gurumurthy, Gautam Das, D...
ML
2008
ACM
13 years 7 months ago
A linear fit gets the correct monotonicity directions
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
Malik Magdon-Ismail, Joseph Sill
COMPLIFE
2006
Springer
13 years 11 months ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...