Technology development has led to a growing availability of low-cost data ready-to-use, frequently derived from large scale observations (i.e. pervasive systems like GPS sensors, or remote sensing earth observation technologies). Oftentimes, these can’t directly answer specific questions posed by researchers and users, even if they can are subject measurement errors self-selection bias. In both...

Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. However, in general MI is computationally intractable to evaluate, and most previous studies redefine the criterion in forms of approximations. Recently we described properties of a simple lower bound on MI, and discussed its links t...

We discuss efficient estimation in quantile regression models where the quantile regression function is modeled parametrically. Additionally we assume that auxiliary information is available in the form of a conditional constraint. This is, for example, the case if the mean regression function or the variance function can be modeled parametrically, e.g. by a line or a polynomial. In this paper ...

Secure transmission of data in these days is the need of the hour. Here we have used some techniques to effectively encrypt and compress the multimedia data for transmission. Effective transmission of information is required in many fields like defence,medical field etc. In our proposed scheme the sender uses auxiliary information for compression and image reconstruction. Auxiliary information ...

Learning a model of perceptual similarity from a collection of objects is a fundamental task in machine learning underlying numerous applications. A common way to learn such a model is from relative comparisons in the form of triplets: responses to queries of the form “Is object a more similar to b than it is to c?”. If no consideration is made in the determination of which queries to ask, exis...