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5,402
An extended set of Haarlike features for rapid objection detection
 IEEE ICIP
"... Recently Viola et al. [5] have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce a novel set of rotated haarlike features. These novel features significantly enrich the simple features of [5] and can also be calculated ef ..."
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Cited by 577 (4 self)
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efficiently. With these new rotated features our sample face detector shows off on average a 10 % lower false alarm rate at a given hit rate. We also present a novel post optimization procedure for a given boosted cascade improving on average the false alarm rate further by 12.5%. 1
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
, 2001
"... Variable selection is fundamental to highdimensional statistical modeling, including nonparametric regression. Many approaches in use are stepwise selection procedures, which can be computationally expensive and ignore stochastic errors in the variable selection process. In this article, penalized ..."
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Cited by 948 (62 self)
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functions are symmetric, nonconcave on (0, ∞), and have singularities at the origin to produce sparse solutions. Furthermore, the penalty functions should be bounded by a constant to reduce bias and satisfy certain conditions to yield continuous solutions. A new algorithm is proposed for optimizing
Nonparametric model for background subtraction
 in ECCV ’00
, 2000
"... Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel nonparametric background model and a background subtraction approach. The model can ..."
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Cited by 545 (17 self)
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achieves very sensitive detection with very low false alarm rates. Key words: visual motion, active and real time vision, motion detection, nonparametric estimation, visual surveillance, shadow detection 1
Hybrid Automata: An Algorithmic Approach to the Specification and Verification of Hybrid Systems
, 1992
"... We introduce the framework of hybrid automata as a model and specification language for hybrid systems. Hybrid automata can be viewed as a generalization of timed automata, in which the behavior of variables is governed in each state by a set of differential equations. We show that many of the examp ..."
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Cited by 460 (20 self)
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at constant rates. The two procedures are based, respectively, on minimizing and computing fixpoints on generally infinite state spaces. We show that if the procedures terminate, then they give correct answers. We then demonstrate that for many of the typical workshop examples, the procedures do terminate
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 ..."
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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
Constant false alarm rate detection in spherically invariant random processes
 Proc. of the European Signal Processing Conf
, 2004
"... In this paper, we use the theory of generalized likelihood ratio tests (GLRT) to study the adaptive version of the asymptotical Bayesian Optimum Radar Detector (BORD) built with a covariance matrix estimate. We investigate its properties, when the noise is modelled as a nonGaussian complex proc ..."
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Cited by 10 (7 self)
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plex process, such as Spherically Invariant Random Process (SIRP). We derive, for appropriate covariance matrix estimates, the analytical expression of the relationship between the Probability of False Alarm (PFA) and the detection threshold. We show that this detector is SIRPCFAR: the GLR distribution does
New Directions in Traffic Measurement and Accounting
, 2001
"... Accurate network traffic measurement is required for accounting, bandwidth provisioning, and detecting DOS attacks. However, keeping a counter to measure the traffic sent by each of a million concurrent flows is too expensive (using SRAM) or slow (using DRAM). The current stateoftheart (e.g., Cis ..."
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Cited by 353 (11 self)
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provable bounds on the accuracy of measured rates and the probability of false negatives. We also propose a new form of accounting called threshold accounting in which only flows above threshold are charged by usage while the rest are charged a fixed fee. Threshold accounting generalizes the familiar
Constant False Alarm Rate in Fire Detection for MODIS Data
"... Abstract — This paper introduces the concept of Constant False Alarm Rate (CFAR) in fire detection for multispectral satellite data. A new algorithm is proposed, based on a technique successfully applied for detection of extended objects in High Resolution SAR images. It compares the pixel under ana ..."
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Abstract — This paper introduces the concept of Constant False Alarm Rate (CFAR) in fire detection for multispectral satellite data. A new algorithm is proposed, based on a technique successfully applied for detection of extended objects in High Resolution SAR images. It compares the pixel under
ON A SIRVCFAR DETECTOR WITH RADAR EXPERIMENTATIONS IN IMPULSIVE CLUTTER
, 2006
"... This paper deals with radar detection in impulsive clutter. Its aim is twofold. Firstly, assuming a Spherically Invariant Random Vectors (SIRV) model for the clutter, the corresponding unknown covariance matrix is estimated by a recently introduced algorithm [1, 2]. A statistical analysis (bias, con ..."
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, consistency, asymptotic distribution) of this estimate will be summarized allowing us to give the GLRT properties: the SIRVCFAR (Constant False Alarm Rate) property, i.e. textureCFAR and Covariance MatrixCFAR, and the relationship between the Probability of False Alarm (PFA) and the detection threshold
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 ..."
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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
Results 1  10
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5,402