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Median measure: an approach to IR systems evaluation

Howard Greisdorf, Amanda Spink
2001 Information Processing & Management  
2001) Median measure: an approach to IR systems evaluation. Information Processing and Management 37(6): pp. 843-857.  ...  The median point of a relevance judgment distribution may provide a measure of user/IR system interaction to supplement precision/recall measures.  ...  median measure that can be used in conjunction with other IR evaluation measures to compare the effectiveness of IR systems: Study 1 Median Measure = 38/78 = .487 (Precision = 73%) Study 2 Median Measure  ... 
doi:10.1016/s0306-4573(00)00064-9 fatcat:xawzeo3ubfherjhd4pogtesekm

TR Multivariate Conditional Median Estimation

Jan G. De Gooijer, Ali Gannoun
2007 Communications in statistics. Simulation and computation  
An affine equivariant version of the nonparametric spatial conditional median (SCM) is constructed, using an adaptive transformation-retransformation (TR) procedure.  ...  Also included is the vector of coordinate conditional, kernelbased, medians (VCCMs). The methodology is illustrated via an empirical data set.  ...  One approach is to generalize the notion of univariate conditional median to the multivariate case in the same manner as some authors (e.g.  ... 
doi:10.1080/03610910601096270 fatcat:3ozvm4m3ijfpln6ed4gjragqu4

Near-infrared spectroscopy extended with indocyanine green dye dilution for cerebral blood flow measurement: Median values in healthy volunteers

R. Mudra, C. Muroi, P. Niederer, E. Keller
2008 Opto-Electronics Review  
yielded to mtt given as median (range) of 9.3 s (5.1–16.3 s), CBV of 3.5 ml/100 g (1.7–4.1 ml/100 g), and CBF of 18.2 ml/(100 g×min) [11.1–48.6 ml/(100 g×min)].  ...  AbstractThe cerebral blood flow (CBF) is an important vital parameter in neurointensive care. Currently, there is no non-invasive method for its measurement that can easily be applied at the bedside.  ...  Because of an insufficient sampling rate and partly low ICG concentrations, however, the arterial pulsatility was not always correctly detected which then impeded an evaluation.  ... 
doi:10.2478/s11772-008-0027-y fatcat:tc6w37muxfbwbang5ezstb3yyy

Fuzzy vector median-based surface smoothing

Yuzhong Shen, K.E. Barner
2004 IEEE Transactions on Visualization and Computer Graphics  
Fuzzy ordering theory leads naturally to the fuzzy median, which yields improved noise smoothing over traditional crisp median filters.  ...  This paper proposes a novel approach for smoothing surfaces represented by triangular meshes.  ...  To utilize fuzzy membership functions on vector-valued data, an appropriate distance metric D 2 IR þ for vectors u and v 2 IR m must be established.  ... 
doi:10.1109/tvcg.2004.1272725 pmid:18579957 fatcat:6exmciqd25hpdikr3qjlp47b3i

Median bias reduction of maximum likelihood estimates [article]

Euloge Clovis, Kenne Pagui and Alessandra Salvan and Nicola Sartori
2017 arXiv   pre-print
With a vector parameter of interest, componentwise equivariance and third-order median centering are obtained.  ...  For a scalar parameter of interest, the estimator is equivariant under interest respecting parameterizations and third-order median unbiased.  ...  Instead, the approach we follow is to set up a system of estimating equations giving, for each θ r , r = 1, . . . , p, the same estimate as (8) , up to terms of order O p (n −1 ) included.  ... 
arXiv:1604.04768v4 fatcat:rg55ejfpgfcupmzeznqzgy6byq

Median radial basis function neural network

A.G. Bors, I. Pitas
1996 IEEE Transactions on Neural Networks  
Each kernel is associated with an activation region from the input space and its output is fed to an output unit.  ...  In order to nd the parameters of a neural network which embeds this structure we take into consideration two di erent statistical approaches.  ...  This algorithm is presented in comparison with a classical approach for training an RBF network.  ... 
doi:10.1109/72.548164 pmid:18263530 fatcat:fq3xw3iecjfy3lzl7xacw2sngi

Spatial Characteristics and Comparisons of Interaction and Median Clustering Models

Alan T. Murray
2010 Geographical Analysis  
grouping evaluated using the ICP has an objective 1) measure of 934,297,431.56.  ...  Alternatively, the median clustering proble m (MCP) was shown to be an approximation approach which utilized spatial observations to create cluster groupings Although much of the rationale for the use  ... 
doi:10.1111/j.1538-4632.2000.tb00412.x fatcat:xiz52n3mzrfvzfvpm7zpqipxjm

Median Statistics,H0, and the Accelerating Universe

J. Richard Gott III, Michael S. Vogeley, Silviu Podariu, Bharat Ratra
2001 Astrophysical Journal  
Median statistics assume only that the measurements are independent and free of systematic errors.  ...  The posterior probability of an open universe is about 47%.  ...  Later, when Charon was discovered, the mass of the Pluto-Charon system could be measured with great accuracy.  ... 
doi:10.1086/319055 fatcat:row3haomfvcxbnubi2mdpstvqe

Soluble Factors Guide Gonadotropin-Releasing Hormone Axonal Targeting to the Median Eminence

M. J. Gibson
2000 Endocrinology  
Thus, bFGF may be one of the soluble factors directing GnRH outgrowth to the median eminence.  ...  However, as with so many other redundancies in the reproductive system, it is unlikely that it is the only targeting factor, as bFGF knockout mice are reported to be reproductively competent.  ...  Gopalan Rajendren for his assistance with photography and advice with regard to the immunocytochemistry. Dr. Susan Wray generously provided the SW1 anti-GnRH antiserum.  ... 
doi:10.1210/en.141.9.3065 pmid:10965875 fatcat:t6go2q3tszh6lbpbmejvkjkxra

Reciprocal Control of Drinking Behavior by Median Preoptic Neurons in Mice

S. B. G. Abbott, N. L. S. Machado, J. C. Geerling, C. B. Saper
2016 Journal of Neuroscience  
Significance Statement Neurons in the median preoptic nucleus (MnPO) and organum vasculosum of the lamina terminalis (OVLT) are known to regulate fluid/electrolyte homeostasis, but few studies have examined  ...  this issue with an appreciation for the neurochemical heterogeneity of these nuclei.  ...  mCherry in VGluT2- ires-Cre and VGAT-ires-Cre mice and implanted an optical fiber anterodorsally to the MnPO for light delivery (Fig. 1E,F) .  ... 
doi:10.1523/jneurosci.1244-16.2016 pmid:27488641 pmcid:PMC4971367 fatcat:v5lqciiln5acdkr3zocc5gh4ri

Marginal median SOM for document organization and retrieval

A. Georgakis, C. Kotropoulos, A. Xafopoulos, I. Pitas
2004 Neural Networks  
Furthermore, the performance of a document organization and retrieval system employing the self-organizing map architecture and its variant is assessed using the average recall -precision curves evaluated  ...  Moreover, we test the performance of the self-organizing map by replacing the linear Least Mean Squares adaptation rule with the marginal median.  ...  Acknowledgements The authors would like to thank their colleagues, G. Albanidis and N.  ... 
doi:10.1016/j.neunet.2003.08.008 pmid:15037354 fatcat:3e6zuycqnfgthboaieubb4q35u

A Comparison of Algorithms for the Multivariate L1-Median

Christophe Croux, Peter Filzmoser, Heinrich Fritz
2010 Social Science Research Network  
The aim is to compare different algorithms with respect to their precision and runtime.  ...  A Comparison of Algorithms for the Multivariate L1-Median Fritz, H.; Filzmoser, P.; Croux, C. Abstract The L 1 -median is a robust estimator of multivariate location with good statistical properties.  ...  Acknowledgments We would like to thank Martin Mächler from the ETH-Zürich for providing different L 1 -median algorithms in the R-library robustX.  ... 
doi:10.2139/ssrn.1690502 fatcat:duum7p7ppffkpizbd7qt24tx2q

Scene-based Nonuniformity Correction Algorithm Based on Temporal Median Filter

Lixiang Geng, Qian Chen, Weixian Qian, Yuzhen Zhang
2013 Journal of the Optical Society of Korea  
The algorithm is an improvement over the constant statistics method and a temporal median is utilized with the Gaussian kernel to estimate the nonuniformity parameters.  ...  In this paper, an effective scene-based nonuniformity correction method is proposed to solve these problems.  ...  As an evaluation criterion of correction performance, the Root Mean Square Error (RMSE) [8] is used to measure the difference between the true infrared image and the corrected image.  ... 
doi:10.3807/josk.2013.17.3.255 fatcat:bkoqwowb7nh3rocpauqnyuwury

A MEDIAN-BASED DEPTHMAP FUSION STRATEGY FOR THE GENERATION OF ORIENTED POINTS

M. Rothermel, N. Haala, D. Fritsch
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Within an additional strategy we define the surface normals as the principle direction for median filtering/integration.  ...  Due to good scalability, systems for image-based dense surface reconstruction often employ stereo or multi-baseline stereo methods.  ...  Direction of planes are incremented over the dimension D of space IR n (in this example IR 2 ). Right: Evaluation of the criterion describing if a KD-tree node fully contains a given cylinder.  ... 
doi:10.5194/isprs-annals-iii-3-115-2016 fatcat:sxc7qw3ekrg3tfgowrl4kh3bdi

A MEDIAN-BASED DEPTHMAP FUSION STRATEGY FOR THE GENERATION OF ORIENTED POINTS

M. Rothermel, N. Haala, D. Fritsch
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Within an additional strategy we define the surface normals as the principle direction for median filtering/integration.  ...  Due to good scalability, systems for image-based dense surface reconstruction often employ stereo or multi-baseline stereo methods.  ...  Direction of planes are incremented over the dimension D of space IR n (in this example IR 2 ). Right: Evaluation of the criterion describing if a KD-tree node fully contains a given cylinder.  ... 
doi:10.5194/isprsannals-iii-3-115-2016 fatcat:lao7e7pzmragrim3tagubmqkn4
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