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CORR
2010
Springer
79views Education» more  CORR 2010»
15 years 2 months ago
Providing Data Group Anonymity Using Concentration Differences
Public access to digital data can turn out to be a cause of undesirable information disclosure. That's why it is vital to somehow protect the data before publishing. There are...
Oleg Chertov, Dan Tavrov
JMLR
2006
107views more  JMLR 2006»
15 years 2 months ago
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
Magnus Ekdahl, Timo Koski
PAMI
2000
112views more  PAMI 2000»
15 years 2 months ago
A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition
Accurate recognition of blurred images is a practical but hitherto mostly overlooked problem. In this paper, we quantify the level of noise in blurred images and propose a new modi...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
DATAMINE
1998
249views more  DATAMINE 1998»
15 years 2 months ago
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
Sreerama K. Murthy
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 2 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen