This article fundamentally aims at the proposition of new family estimators using auxiliary information to assist estimation finite population mean study variable. The objectives are achieved by devising dual use supplementary through straightforward manner. additional is injected in estimating procedure considering squared values utility proposed scheme substantiated providing rigorous compara...

In the realm of multi-modal visual recognition, the reliability of the data acquisition system is often a concern due to the increased complexity of the sensors. One of the major issues is the accidental loss of one or more sensing channels, which poses a major challenge to current learning systems. In this paper, we examine one of these specific missing data problems, where we have a main moda...

The availability of databases of images labeled with keywords is necessary for developing and evaluating image annotation models. Dataset collection is however a costly and time consuming task. In this paper we exploit the vast resource of images available on the web. We create a database of pictures that are naturally embedded into news articles and propose to use their captions as a proxy for...

We have developed a novel approach to determine the similarity of documents using probabilistic latent semantic indexing. For each document a probability vector of latent factors is estimated which on the one hand takes into account the distribution of words in the text and on the other hand the distribution of category values. The emphasis can be freely shifted between both aspects and therefo...

In quantile regression of survival data, the estimation of the regression coefficients for extreme quantiles can be affected by severe censoring. Measurement error in covariates also leads to bias and loss in efficiency of estimators. In this seminar, we discuss the methodologies that effectively use the auxiliary information to improve the efficiency of censored quantile regression estimators....

In many practical situations sample sizes are not sufficiently large and estimators based on such samples may not be satisfactory in terms of their variances. At the same time it is not unusual that some auxiliary information about the parameters of interest is available. This paper considers a method of using auxiliary information for improving properties of the estimators based on a current s...

We study the problem of secure two-party and multiparty computation (MPC) in a setting where a cheating polynomial-time adversary can corrupt an arbitrary subset of parties and, in addition, learn arbitrary auxiliary information on the entire states of all honest parties (including their inputs and random coins), in an adaptive manner, throughout the protocol execution. We formalize a definitio...