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CONSISTENCY AND RELEVANCE OF VGI AVAILABLE FROM SOCIAL NETWORKS FOR EMERGENCY MITIGATION AND MUNICIPAL MANAGEMENT
Volunteered Geographic Information (VGI) Flickr, Emergency Mitigation
2018/11/9
Volunteered geographical information (VGI) is an increasing source of data for many applications. In order to explore some of these sources of data, an algorithm was conceived and implemented in the E...
On BIC's Selection Consistency for Discriminant Analysis
BIC Discriminant Analysis Selection Consistency
2016/1/19
Linear and quadratic discriminant analysis are two very useful classification methods, for which the problem of variable selection is of fundamental impor-tance. To this end, a BIC-type selection crit...
Consistency of Multidimensional Convex Regression
nonparametric regression multidimensional convex functions asymptotic properties consistency
2015/7/6
Convex regression is concerned with computing the best fit of a convex function to a data set of n observations in which the independent variable is (possibly) multidimensional. Such regression ...
Evaluation of Pulmonary Embolism in the Emergency Department and Consistency With a National Quality Measure: Quantifying the opportunity for improvement
pulmonary embolism emergency department national quality measures
2014/11/28
Background The National Quality Forum (NQF) has endorsed a performance measure designed to increase imaging efficiency for the evaluation of pulmonary embolism (PE) in the emergency department (ED). T...
Transductive Regression with Local and Global Consistency for Image Super-Resolution
Transductive Regression Global Consistency
2013/7/24
In this paper, we propose a novel image super-resolution algorithm, referred to as interpolation based on transductive regression with local and globalconsistency (TRLGC). Our algorithmfirst con...
On model selection consistency of M-estimators with geometrically decomposable penalties
model selection consistency M-estimators geometrically decomposable penalties
2013/6/14
Penalized M-estimators are used in many areas of science and engineering to fit models with some low-dimensional structure in high-dimensional settings. In many problems arising in bioinformatics, sig...
On the Convergence and Consistency of the Blurring Mean-Shift Process
Mean-shift Convergence Consistency Clustering,γ-divergence Super robustness
2013/6/13
The mean-shift algorithm is a popular algorithm in computer vision and image processing. It can also be cast as a minimum gamma-divergence estimation. In this paper we focus on the "blurring" mean shi...
The Lasso is a popular statistical tool invented by Robert Tibshirani for linear regression when the number of covariates is greater than or comparable to the number of observations. The validity of t...
The subset argument and consistency of MLE in GLMM: Answer to an open problem and beyond
Cramer consistency crossed random effects MLE GLMM,salamander mating data subset argument Wald consistency
2013/4/27
We give answer to an open problem regarding consistency of the maximum likelihood estimators (MLEs) in generalized linear mixed models (GLMMs) involving crossed random effects. The solution to the ope...
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Classification Asymmetric Label Noise Consistency Maximal Denoising
2013/4/27
In many real-world classification problems, the labels of training examples are randomly corrupted. Previous theoretical work on classification with label noise assumes that the two classes are separa...
Consistency of M estimates for separable nonlinear regression models
Nonlinear regression separable models con-sistency robust estimation.
2012/9/18
Consider a nonlinear regression model :yi =g(xi, 兤) +ei, i = 1, ..., n,where thexi are random predictorsxi and兤is the unknown parameter vector ranging in a set set 儲伡Rp. All known results on the consi...
On the consistency of AUC Optimization
AUC consistency surrogate loss cost-sensitive learning learning to rank
2012/9/18
AUC (area under ROC curve) is an important evaluation criterion, which has been popularly used in diverse learning tasks such as class-imbalance learning, cost-sensitive learning, learning to rank and...
CONSISTENCY MATCHING IN THE INTEGRATION OF CONTOUR AND RIVER DATA BY SPATIAL KNOWLEDGE
Spatial data matching Delaunay triangulation Spatial data quality
2014/4/25
As the representation of terrain surface and height information, the contour data has the strict constraint relationship with the distribution of river network. In spatial data integration and matchin...
Emotional consistency as evidence of dynamic equivalence among English translations of the Bible
Emotional consistency evidence dynamic equivalence English translations Bible
2016/3/16
In order to be dynamically equivalent, different translations of the same text must have the same effects (including emotional effects) on an audience. In this research, six English translations of th...
SIDE INFORMATION EXTRAPOLATION WITH TEMPORAL AND SPATIAL CONSISTENCY
Distributed video coding side information extrapolation temporal and spatial consistency regularized local linear regression
2013/7/24
In this paper, we present an efficient side information extrapolation scheme with temporal and spatial consistency for lowdelay Wyner-Ziv videocoding. Our method is based on theregularized local...