发明名称 OBJECT CATEGORIZATION USING STATISTICALLY-MODELED CLASSIFIER OUTPUTS
摘要 Systems and method for object characterization include generating a classifier that defines a decision hyperplane separating a first classification region of a virtual feature space from a second classification region of the virtual feature space. Input information is provided to the classifier, and a number of classifications are received from the classifier. A distribution of the classifications is determined and used to generate a prediction.
申请公布号 US2017046615(A1) 申请公布日期 2017.02.16
申请号 US201615237048 申请日期 2016.08.15
申请人 Lyrical Labs Video Compression Technology, LLC 发明人 Schupp-Omid Daniel Riley;Ratner Edward;Gritsenko Andrey
分类号 G06N3/08;G06N7/00 主分类号 G06N3/08
代理机构 代理人
主权项 1. A method of object categorization, the method comprising: generating at least one classifier, the at least one classifier defining at least one decision hyperplane that separates a first classification region of a virtual feature space from a second classification region of the virtual feature space; providing input information to the at least one classifier; receiving, from the at least one classifier, a plurality classifications corresponding to the input information; determining a distribution of the plurality of classifications; and generating a prediction based on the distribution.
地址 New York NY US