Cumulative Residual Entropy, A New Measure of Information & its Application to Image Alignment
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
STOCHASTIC COMPARISONS ON RESIDUAL LIFE AND INACTIVITY TIME OF SERIES AND PARALLEL SYSTEMS
Probability in the Engineering and Informational Sciences
On The Mean Inactivity Time Ordering With Reliability Applications
Probability in the Engineering and Informational Sciences
Further Results Involving The Mit Order And The Imit Class
Probability in the Engineering and Informational Sciences
Characterizations Of The RHR And MIT Orderings And The DRHR And IMIT Classes Of Life Distributions
Probability in the Engineering and Informational Sciences
Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy
International Journal of Computer Vision
Generalized cumulative residual entropy for distributions with unrestricted supports
Research Letters in Signal Processing
Cumulative residual entropy: a new measure of information
IEEE Transactions on Information Theory
Survival exponential entropies
IEEE Transactions on Information Theory
Neuronal data analysis based on the empirical cumulative entropy
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
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The cumulative entropy is a new measure of information, alternative to the classical differential entropy. It has been recently proposed in analogy with the cumulative residual entropy studied by Wang et al. (2003a) and (2003b). After recalling its main properties, including a connection to reliability theory, we discuss estimates of random lifetimes based on the empirical cumulative entropy, which is suitably expressed in terms of the dual normalized sample spacings.