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» Accelerating Large Data Analysis by Exploiting Regularities
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INFOCOM
2007
IEEE
14 years 5 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
ICDCS
2008
IEEE
14 years 5 months ago
Analysis of Maximum Executable Length for Detecting Text-Based Malware
The possibility of using purely text stream (keyboardenterable) as carrier of malware is under-researched and often underestimated. A text attack can happen at multiple levels, fr...
P. Kumar Manna, Sanjay Ranka, Shigang Chen
ICASSP
2007
IEEE
14 years 5 months ago
Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
Roger Pique-Regi, En-Shuo Tsau, Antonio Ortega, Ro...
BMCBI
2010
182views more  BMCBI 2010»
13 years 11 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
BMCBI
2010
153views more  BMCBI 2010»
13 years 10 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...