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High confidence visual recognition of persons by a test of statistical independence
 IEEE TRANS. ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1993
"... A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. The most unique phenotypic feature visible in a person’s face is the detailed texture of each eye’s iris: An estimate of its statistical complexity in a sample of the ..."
Abstract

Cited by 621 (8 self)
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to a conditional false accept probability of one in about l0^31.
High dimensional graphs and variable selection with the Lasso
 ANNALS OF STATISTICS
, 2006
"... The pattern of zero entries in the inverse covariance matrix of a multivariate normal distribution corresponds to conditional independence restrictions between variables. Covariance selection aims at estimating those structural zeros from data. We show that neighborhood selection with the Lasso is a ..."
Abstract

Cited by 736 (22 self)
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show that the proposed neighborhood selection scheme is consistent for sparse highdimensional graphs. Consistency hinges on the choice of the penalty parameter. The oracle value for optimal prediction does not lead to a consistent neighborhood estimate. Controlling instead the probability of falsely
A randomized protocol for signing contracts
, 1990
"... Two parties, A and B, want to sign a contract C over a communication network. To do so, they must “simultaneously” exchange their commitments to C. Since simultaneous exchange is usually impossible in practice, protocols are needed to approximate simultaneity by exchanging partial commitments in pie ..."
Abstract

Cited by 599 (11 self)
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in piece by piece manner. During such a protocol, one party or another may have a slight advantage; a “fair” protocol keeps this advantage within acceptable limits. We present a new protocol that is fair in the sense that, at any stage in its execution, the conditional probability that one party cannot
The positive false discovery rate: A Bayesian interpretation and the qvalue
 Annals of Statistics
, 2003
"... Multiple hypothesis testing is concerned with controlling the rate of false positives when testing several hypotheses simultaneously. One multiple hypothesis testing error measure is the false discovery rate (FDR), which is loosely defined to be the expected proportion of false positives among all s ..."
Abstract

Cited by 337 (8 self)
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Multiple hypothesis testing is concerned with controlling the rate of false positives when testing several hypotheses simultaneously. One multiple hypothesis testing error measure is the false discovery rate (FDR), which is loosely defined to be the expected proportion of false positives among all
Pragmatics of measuring recognition memory: Applications to dementia and amnesia.
 Journal of Experimental Psychology: General,
, 1988
"... SUMMARY This article has two purposes. The first is to describe four theoretical models of yesno recognition memory and present their associated measures of discrimination and response bias. These models are then applied to a set of data from normal subjects to determine which pairs of discriminati ..."
Abstract

Cited by 326 (0 self)
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;yes") or new (by responding "no"). Performance on a yesno recognition test is summarized by two measures: the hit rate, the probability that the subject classifies an old item as old, and the false alarm rate, the probability that the subject classifies a new item as old. A given model
Probability of False Acceptance
, 2004
"... We present a novel face recognition method based on global polar frequency features. The algorithm uses FourierBessel transformation for polar frequency components extraction, conversion to a dissimilarity space, and a Linear Discriminant classifier. Although the algorithm performance was below tha ..."
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We present a novel face recognition method based on global polar frequency features. The algorithm uses FourierBessel transformation for polar frequency components extraction, conversion to a dissimilarity space, and a Linear Discriminant classifier. Although the algorithm performance was below that of stateof theart methods w.r.t. recognition rate tests, it was equivalent on verification tests. These results indicate that recognition rates can be improved by considering more sophisticated decision rules based on confidence levels.
PFA = Probability of False Alarm
"... This paper presents an implementation of an IIMMW simulator for use in developing a multisensory fusion methodology for Helicopter DNAW operations. The functional modeling approach based on power representation of the simulated sensors is adopted in the simulation. The detailed power and attenuation ..."
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and attenuation models are described and the received power from the target and background is converted into intensity values and rendered as an image. The effect of various weather conditions including rain, fog, snow and dust are considered. As a result, some examples of simulated MMW and IR images generated
False Alarm Probability
"... Fig. 3. ROC for standard and robust LRT with different contamination parameters. V. CONCLUSION This correspondence has described a procedure for testing which nonlinear dynamic model from a finite class generated a particular random process. The procedure uses extended Kalman filters (EKF’s) tuned t ..."
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) the prediction error may become colored, which could effect the robust LRT; b) the contamination parameters could be adaptively adjusted to take account of the extent of the linearization errors in the EKF, c) the effect of unknown initial conditions; and d) the issue of model mismatch.
Probability.
, 2000
"... Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at ..."
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Probability.
"... Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at ..."
Abstract
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Results 1  10
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1,628