{"title":"检测由人类产生的点过程的规律性","authors":"D. Lake","doi":"10.1109/WITS.1994.513918","DOIUrl":null,"url":null,"abstract":"Detecting minefields in the presence of clutter is an important challenge for the Navy. Mine-fields have point patterns that tend to be regular for a variety of reasons including strategic doctrine, safety, tactical efficiency, and perhaps most intriguing the human element. For example, humans have a tendency to make lottery number selections, a one-dimensional discrete point process, in a non-uniform manner. In this paper, we introduce several simple procedures to detect regularity in point processes.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detecting regularity in point processes generated by humans\",\"authors\":\"D. Lake\",\"doi\":\"10.1109/WITS.1994.513918\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting minefields in the presence of clutter is an important challenge for the Navy. Mine-fields have point patterns that tend to be regular for a variety of reasons including strategic doctrine, safety, tactical efficiency, and perhaps most intriguing the human element. For example, humans have a tendency to make lottery number selections, a one-dimensional discrete point process, in a non-uniform manner. In this paper, we introduce several simple procedures to detect regularity in point processes.\",\"PeriodicalId\":423518,\"journal\":{\"name\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITS.1994.513918\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting regularity in point processes generated by humans
Detecting minefields in the presence of clutter is an important challenge for the Navy. Mine-fields have point patterns that tend to be regular for a variety of reasons including strategic doctrine, safety, tactical efficiency, and perhaps most intriguing the human element. For example, humans have a tendency to make lottery number selections, a one-dimensional discrete point process, in a non-uniform manner. In this paper, we introduce several simple procedures to detect regularity in point processes.