This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy chan- nels. The eventual goal is a general development of Shannon's mathematical theory of communicat
生物特征加密的一些论文Abstract—In this paper, a new, soft two-level approach for the generation of multiple and revocable biometric keys, adapted to the analog nature of biometric signals, is proposed. It consists of a novel randomized soft code-offset constru
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statistical estim
This paper presents a machine learning system for parsing natural language that learns from manually parsed example sentences and parses unseen data at state-of-the-art accuracies. Its machine learning technology, based on the maximum entropy framew
here is an ongoing research effort devoted to characterize the signal regularity metrics approximate entropy (ApEn) and sample entropy (SampEn) in order to better interpret their results in the context of biomedical signal analysis. Along with this
