The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 23, 2021

Filed:

Aug. 28, 2017
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Dongjin Song, La Jolla, CA (US);

Haifeng Chen, West Windsor, NJ (US);

Guofei Jiang, Princeton, NJ (US);

Yao Qin, Princeton, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06K 9/00 (2006.01); G06F 17/18 (2006.01); G08B 31/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01); G08B 23/00 (2006.01); G06Q 10/06 (2012.01); G06N 3/02 (2006.01); G06F 16/242 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00718 (2013.01); G06F 17/18 (2013.01); G06K 9/00744 (2013.01); G06K 9/6271 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G08B 23/00 (2013.01); G08B 31/00 (2013.01); G06F 16/2423 (2019.01); G06K 2009/00738 (2013.01); G06N 3/02 (2013.01); G06N 3/049 (2013.01); G06Q 10/06375 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and methods for time series prediction are described. The systems and methods include encoding driving series into encoded hidden states, the encoding including adaptively prioritizing driving series at each timestamp using input attention, the driving series including data sequences collected from sensors. The systems and methods further includes decoding the encoded hidden states to generate a predicting model, the decoding including adaptively prioritizing encoded hidden states using temporal attention. The systems and methods further include generating predictions of future events using the predicting model based on the data sequences. The systems and methods further include generating signals for initiating an action to devices based on the predictions.


Find Patent Forward Citations

Loading…