The main result of this paper is the derivation of the probability density function of the cross ratio k(a,b,c,d)=(c-a)(d-b)/(d-a)(c-b) when the numbers a, b, c and d are independent stoch astic variables with identical rectangular distribution. The probability density function of the cross ratio is needed to study the effectiveness of invariant based recognition systems. A short background into invariant based recognition is given. The use of the result is illustrated by examples and a short comment is given on generalizing the result to other distributions on a, b, c and d. Although theoretical, this result is useful in understanding algorithms based on the cross ratio, e.g. in autonomous vehicle navigation, object recognition and reconst...
• Т. Koll. An example of uniform strong laws of random lines • Kokkuvõte • T. Kollo. A Note on Pat...
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performanc...
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performanc...
The main result of this paper is the derivation of the probability density function of the cross rat...
The cross ratio has wide applications in computer vision because of its invari-ance under projective...
In this paper, I develop a higher-order statistical theory of matching models against images. The ba...
The R package crossrun computes the joint distribution of the number of crossings and the longest ru...
Let F and G be two continuous distribution functions that cross at a finite number of points − ∞ ≤ t...
Selection of estimators is an essential task in modeling. A general framework is that the estimators...
This paper studies V-fold cross-validation for model selection in least-squares density estimation. ...
We study the problem of how to accurately model the data sets that contain a number of highly intert...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n ...
Dans ce travail, nous obtenons la loi asymptotique d'un vecteur quelconque de corrélations croisées ...
The cross-spectrum method consists in measuring a signal $c(t)$ simultaneously with two independent ...
• Т. Koll. An example of uniform strong laws of random lines • Kokkuvõte • T. Kollo. A Note on Pat...
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performanc...
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performanc...
The main result of this paper is the derivation of the probability density function of the cross rat...
The cross ratio has wide applications in computer vision because of its invari-ance under projective...
In this paper, I develop a higher-order statistical theory of matching models against images. The ba...
The R package crossrun computes the joint distribution of the number of crossings and the longest ru...
Let F and G be two continuous distribution functions that cross at a finite number of points − ∞ ≤ t...
Selection of estimators is an essential task in modeling. A general framework is that the estimators...
This paper studies V-fold cross-validation for model selection in least-squares density estimation. ...
We study the problem of how to accurately model the data sets that contain a number of highly intert...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n ...
Dans ce travail, nous obtenons la loi asymptotique d'un vecteur quelconque de corrélations croisées ...
The cross-spectrum method consists in measuring a signal $c(t)$ simultaneously with two independent ...
• Т. Koll. An example of uniform strong laws of random lines • Kokkuvõte • T. Kollo. A Note on Pat...
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performanc...
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performanc...