While gait recognition is the mapping of a gait sequence to an identity known to the system, gait authentication refers to the problem of identifying whether a given gait sequence belongs to the claimed identity. A ty...While gait recognition is the mapping of a gait sequence to an identity known to the system, gait authentication refers to the problem of identifying whether a given gait sequence belongs to the claimed identity. A typical gait authentication system starts with a feature representation such as a gait template, then proceeds to extract its features, and a transformation is ultimately applied to obtain a discriminant feature set. Almost every authentication approach in literature favours the use of Euclidean distance as a threshold to mark the boundary between a legitimate subject and an impostor. This article proposes a method that uses the posterior probability of a Bayes' classifier in place of the Euclidean distance. The proposed framework is applied to template-based gait feature representations and is evaluated using the standard CASIA-B gait database. Our study experimentally demonstrates that the Bayesian posterior probability performs significantly better than the de facto Euclidean distance approach and the cosine distance which is established in research to be the current state of the art.展开更多
The aim of this paper is to develop a multi-period economic model to interpret how the people become overconfident by a biased learning that people tend to attribute the success to their abilities and failures to othe...The aim of this paper is to develop a multi-period economic model to interpret how the people become overconfident by a biased learning that people tend to attribute the success to their abilities and failures to other factors.The authors suppose that the informed trader does not know the distribution of the precision of his private signal and updates his belief on the distribution of the precision of his knowledge by Bayer's rule.The informed trader can eventually recognize the value of the precision of his knowledge after an enough long time biased learning,but the value is overestimated which leads him to be overconfident.Furthermore,based on the definition on the luckier trader who succeeds the same times but has the larger variance of the knowledge,the authors find that the luckier the informed trader is,the more overconfident he will be;the smaller the biased learning factor is, the more overconfident the informed trader is.The authors also obtain a linear equilibrium which can explain some anomalies in financial markets,such as the high observed trading volume and excess volatility.展开更多
The article describes the Anglo-American law of evidence as it applies to forensic-science testimony interpreting the significance of a "match" to trace evidence. It is adapted from the forthcoming Wiley Enc...The article describes the Anglo-American law of evidence as it applies to forensic-science testimony interpreting the significance of a "match" to trace evidence. It is adapted from the forthcoming Wiley Encyclopedia of Forensic Science.展开更多
基金funded by Visvesvaraya Ph.D. Scheme for Electronics & IT from the Ministry of Electronics and Information Technology,Government of India
文摘While gait recognition is the mapping of a gait sequence to an identity known to the system, gait authentication refers to the problem of identifying whether a given gait sequence belongs to the claimed identity. A typical gait authentication system starts with a feature representation such as a gait template, then proceeds to extract its features, and a transformation is ultimately applied to obtain a discriminant feature set. Almost every authentication approach in literature favours the use of Euclidean distance as a threshold to mark the boundary between a legitimate subject and an impostor. This article proposes a method that uses the posterior probability of a Bayes' classifier in place of the Euclidean distance. The proposed framework is applied to template-based gait feature representations and is evaluated using the standard CASIA-B gait database. Our study experimentally demonstrates that the Bayesian posterior probability performs significantly better than the de facto Euclidean distance approach and the cosine distance which is established in research to be the current state of the art.
基金supported by the National Natural Science Foundation of China under Grant Nos.71303265and 71573289the Innovative Research Group Project of National Natural Science Foundation of China under Grant No.71721001
文摘The aim of this paper is to develop a multi-period economic model to interpret how the people become overconfident by a biased learning that people tend to attribute the success to their abilities and failures to other factors.The authors suppose that the informed trader does not know the distribution of the precision of his private signal and updates his belief on the distribution of the precision of his knowledge by Bayer's rule.The informed trader can eventually recognize the value of the precision of his knowledge after an enough long time biased learning,but the value is overestimated which leads him to be overconfident.Furthermore,based on the definition on the luckier trader who succeeds the same times but has the larger variance of the knowledge,the authors find that the luckier the informed trader is,the more overconfident he will be;the smaller the biased learning factor is, the more overconfident the informed trader is.The authors also obtain a linear equilibrium which can explain some anomalies in financial markets,such as the high observed trading volume and excess volatility.
文摘The article describes the Anglo-American law of evidence as it applies to forensic-science testimony interpreting the significance of a "match" to trace evidence. It is adapted from the forthcoming Wiley Encyclopedia of Forensic Science.
