Detection error tradeoff

Known as: DET, DET curve 
A detection error tradeoff (DET) graph is a graphical plot of error rates for binary classification systems, plotting false reject rate vs. false… (More)
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Highly Cited
2015
Highly Cited
2015
Recurrence quantification analysis (RQA) is a nonlinear technique used to quantify the information supplied by a recurrence plot… (More)
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2015
2015
In this paper, we deal with the task of sub-event detection in evolving events using posts collected from the Twitter stream. By… (More)
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2011
2011
Feature selection is crucial to select an “optimized” subset of features from the original feature set based on a certain… (More)
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2009
2009
In this paper, we study the localization problem in large-scale Underwater Wireless Sensor Networks (UWSNs). Unlike in the… (More)
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Highly Cited
2006
Highly Cited
2006
This contribution presents a novel approach for the automatic generation of a low-level feature extractor that is useful in… (More)
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2005
2005
An important step in fingerprint recognition is the segmentation of the region of interest. In this paper, we present an enhanced… (More)
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Highly Cited
2002
Highly Cited
2002
Although neural activity associated with emotion is becoming better understood, the influence of affective parameters on brain… (More)
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Highly Cited
1999
Highly Cited
1999
The goal of TDT Topic Detection and Tracking is to develop aut omatic methods of identifying topically related stories wit hin a… (More)
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Highly Cited
1997
Highly Cited
1997
We introduce the DET Curve as a means of representing performance on detection tasks that involve a tradeoff of error types. We… (More)
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Highly Cited
1997
Highly Cited
1997
Case 2: If the reconstruction function is easy, we may use the following protocol: P 1 picks a random input r 2 R, and shares the… (More)
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