Although a tremendous effort has been made to perform a reliable analysis of images and videos in the past fifty years, the reality is that one cannot rely in 100% on the analysis results. In this paper, rather than proposing yet another improvement in video analysis techniques, we discuss entropy-based monitoring of features reliability. Major assumption of our approach is that the noise, adve...

This paper deals with the discrimination between suffering foetuses and normal foetuses by means of a multi-scale similarity entropy. Sample entropy and similarity entropy are evaluated in multi-scale analysis on foetal heart rate signals. Without multi-scale analysis, our results show that only the similarity entropy differentiate suffering foetuses to normal foetuses. Furthermore with the mul...

In regression problems with errors having an unknown density f , least squares or robust M -estimation is the usual alternative to maximum likelihood, with the loss of asymptotic efficiency as a consequence. The search for efficiency in the absence of knowledge of f (adaptive estimation) has motivated a large amount of work, see in particular (Stein, 1956; Stone, 1975; Bickel, 1982) and the rev...

This paper provides a comparative analysis of stock market dynamics of the 1987 and 2008 financial crises and discusses the extent to which risk management measures based on entropy can be successful in predicting aggregate market expectations. We find that the Tsallis entropy is more appropriate for the short and sudden market crash of 1987, while the approximate entropy is the dominant predic...