that are ass�ciate� �ith life-s�an �eterminati�n an� initiati�n �f a�erelate� �e�enerative �iseases,� such as th�se inv�lvin� AMP-activate� �r�tein kinase,� TOR,� an� SIRT1 (sirtuin 1). A m�re recent su��esti�n is that anth�cyanins may stimulate the synthesis �f l�n� chain �me�a-3 ��lyunsaturate� fatty aci�s (PUFAs),� s� increasin� the �r��ucti�n �f antiinflammat�ry eic�san�i�s,� c�m�are� t� ...

We apply recent results on the minimax risk in density esti mation to the related problem of pattern classi cation The notion of loss we seek to minimize is an information theoretic measure of how well we can predict the classi cation of future examples given the classi cation of previously seen examples We give an asymptotic characterization of the minimax risk in terms of the metric entropy p...

This paper presents a new algorithm for locating the boundaries of textured regions (both step changes and outliers) using a robust estimator. Previous robust image lters perform poorly on binary images, blur edges, round corners, and run slowly. I avoid artifacts on binary images by modelling them as continuous and interpolating values. Information is combined directly between non-adjacent loc...

In data mining, we are often faced with the task of estimating model performance from training data. This estimation is supposed to express the expectation of the performance on future, previously unseen data and it is very much needed for business decisions and also for the analyst to compare different models. One of the most widely used performance estimation technique is cross-validation whi...

Semidiscrete mixed nite element approximation to parabolic initial boundary value problems is introduced and analyzed Superconver gence estimates for both pressure and velocity are obtained The esti mates for the errors in pressure and velocity depend on the smoothness of the initial data including the limiting cases of data in L and data in H r for r su ciently large Because of the smoothing p...

Several implementations of a recursive disparity esti-mator have been investigated in which bi-directional spatial predictions as well as temporal predictions are used. The recursive disparity estimator showed to be very attractive for real time multi view interpolation applications because of the use of the predictions and small search ranges or update sets. The estimated disparity elds are sm...

The paper derives a minimax lower bound for rates of convergence for an infinite-dimensional parameter in an exponential family model. An esti-mator that achieves the optimal rate is constructed by maximum likelihood on finite-dimensional approximations with parameter dimension that grows with sample size. 1. Introduction. Our main purpose in this paper is to extend the theory developed by Hall...

There are now several reliable methods for estimating stable pa rameters from data However little attention has been paid to model veri cation i e how to assess whether the stable parameters esti mated actually do a good job of describing the data We analyze sev eral heavy tailed data sets and demonstrate diagnostics for assessing both univariate and multivariate stable ts to data sets Multivar...

The problem of estimating nominal direction of arrival and angular spread of a source surrounded by a large number of local scatterers using a linear array of sensors is addressed. The maximum likelihood (ML) esti-mator is considered together with an estimator based on least squares t of sample covariance to theoretical covariance matrix derived from a parametric model of the situation. Analysi...

A preliminary s~rvey was conducted to provide an esti~ate of the seventy of red rot (Glomerella tucumanensis) I~ vanous parts of the sugar industry. The incidence of this dIsea~e was greater in the higher altitude areas, with long growing cycles, and where crops were damaged by sesamia or eldana borers. The most severe case observed was 52% of stalks of NC0376 infected in a field at Kranskop. S...