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» A theory of Error-Rate Testing
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SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 4 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
BIOSIG
2003
89views Biometrics» more  BIOSIG 2003»
13 years 9 months ago
How to Test the Performance of Speech Verifiers and Statistical Evaluation
Abstract: Biometric identification and verification technologies, in the past, have promised high performance levels. Such performance statements lead to the assumption, that these...
Jörg Tacke, Andreas Wolf
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
ICPR
2008
IEEE
14 years 9 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang
ICIP
2009
IEEE
14 years 8 months ago
Image Tamper Detection Based On Demosaicing Artifacts
In this paper, we introduce tamper detection techniques based on artifacts created by Color Filter Array (CFA) processing in most digital cameras. The techniques are based on comp...