Generalized cumulative residual entropy for distributions with unrestricted supports
Research Letters in Signal Processing
On Cumulative Entropies and Lifetime Estimations
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Face recognition with salient local gradient orientation binary patterns
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Multi-modal image registration using the generalized survival exponential entropy
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Information measures based on fractional calculus
Information Processing Letters
Hi-index | 754.84 |
The multivariate survival function of a random vector X is used to define a broad class of entropy measures. Several properties of the proposed class are studied and explicit expressions of the measures derived for specific probabilistic models. The cumulative residual entropy, introduced by Rao et al. and Wang et al., is a particular case of the proposed class of measures.