Research in psychology has shown that when people are told not to think about a pink elephant they cannot avoid doing just that. Similar results are found for language production in that people leak information about hidden figures when instructed to ignore those figures. It is argued that the salience of information plays a crucial role in these effects. The present study investigates how diff...

Features of an image can be extracted with the help of salient maps. Feature extraction can be either in spatial domain or in transform domain. In this work, a novel salient map creation model based on wavelet transform domain. At first, the wavelet transform is employed to create the multi-scale feature maps which can utilise low-level features. This saliency detection model is based on high-p...

the fetal origins hypothesis (foh), put forward in the epidemiological literature and later flourished in the economics literature, suggests that the time in utero is a critical period for human development. however, much attention has been paid to the consequences of fetal exposures to more extreme natural shocks, while less is known about fetal exposures to milder but more commonly experience...

We survey works and applications of visual programming for the control of sound spatialization in the OpenMusic computer-aided composition environment. Several salient aspects of the control and spatialization processes are described, such as the high-level description of spatial sound scenes, their unfolding in musical or computational time flows, as well as the concept of spatial sound synthe...

Action languages allow for compactly describing dynamic domains. They are usually implemented by compilation, e.g., to Answer Set Programming. To this end, we developed a tool, called Coala, offering manifold compilation techniques for several action languages. We provide an overview of the salient and distinctive features of Coala as well as an experimental comparison of them.

In Bordalo, Gennaioli, and Shleifer (2012a)— henceforth, BGS (2012a)—we described a new approach to choice under risk that we called salience theory. In comparisons of risky lotteries, we argued, individuals’ attention is drawn to those payoffs which are most different or salient relative to the average. In making choices, individuals overweight these salient payoffs relative to their objective...