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» Robust classification for skewed data
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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 5 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
NIPS
2001
13 years 6 months ago
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or databa...
Paul A. Viola, Michael J. Jones
BMVC
1998
13 years 6 months ago
Writer Identification from Non-uniformly Skewed Handwriting Images
Many techniques have been reported for handwriting-based writer identification. Most such techniques assume that the written text is fixed (e.g., in signature verification). In th...
H. E. S. Said, G. S. Peake, T. N. Tan, Keith D. Ba...
JASIS
2006
90views more  JASIS 2006»
13 years 5 months ago
Classification and powerlaws: The logarithmic transformation
Logarithmic transformation of the data has been recommended by the literature in the case of highly skewed distributions such as those commonly found in information science. The p...
Loet Leydesdorff, Stephen J. Bensman
TMC
2010
179views more  TMC 2010»
13 years 3 months ago
On Fast and Accurate Detection of Unauthorized Wireless Access Points Using Clock Skews
We explore the use of clock skew of a wireless local area network access point (AP) as its fingerprint to detect unauthorized APs quickly and accurately. The main goal behind usi...
Suman Jana, Sneha Kumar Kasera