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 |
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代理人 |
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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 |