Document Type

Article

Publication Date

February 2020

Patent Number

10572802

CPC

G06N 3/02, G06N 3/0454, G06N 3/08, G06N 7/005

Abstract

A noise and bias can be determined for a sensor. An input vector can be received. A parameter vector can be generated based at least in part on a feed-forward neural network. Components can be determined using the parameter vector based at least in part on a mixture model. A conditional probability density function can be generated based at least in part on the conditional probability density function.

Application Number

16/236715

Assignees

University of South Florida

Filing Date

12/31/2018

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