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CEAS
2006
Springer
13 years 11 months ago
Fast Uncertainty Sampling for Labeling Large E-mail Corpora
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
Richard Segal, Ted Markowitz, William Arnold
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 8 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
TSP
2008
89views more  TSP 2008»
13 years 7 months ago
Optimal Filters on the Sphere
We derive optimal filters on the sphere in the context of detecting compact objects embedded in a stochastic background process. The matched filter and the scale adaptive filter ar...
Jason D. McEwen, Michael P. Hobson, Anthony N. Las...
TREC
1998
13 years 9 months ago
Threshold Calibration in CLARIT Adaptive Filtering
In this paper, we describe the system and methods used for the CLARITECH entries in the TREC
ChengXiang Zhai, Peter Jansen, Emilia Stoica, Norb...
ICIP
2006
IEEE
14 years 9 months ago
Image Local Contrast Enhancement using Adaptive Non-Linear Filters
We present a locallY adaptivE Non-lInear (YENI) filter to obtain the unsharp mask of an image. The unsharp mask obtained by the YENI filter preserves the edges in the image while ...
Tarik Arici, Yucel Altunbasak