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.
Patent No.:
Date of Patent:
Aug. 29, 2023
Filed:
Jul. 08, 2021
Applicant:
Nec Laboratories America, Inc., Princeton, NJ (US);
Inventors:
Yuncong Chen, Plainsboro, NJ (US);
Dongjin Song, Princeton, NJ (US);
Cristian Lumezanu, Princeton Junction, NJ (US);
Haifeng Chen, West Windsor, NJ (US);
Takehiko Mizoguchi, West Windsor, NJ (US);
Xuchao Zhang, Elkridge, MD (US);
Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06K 9/62 (2022.01); G06F 40/169 (2020.01); G06N 3/08 (2023.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 10/62 (2022.01);
U.S. Cl.
CPC ...
G06F 16/355 (2019.01); G06F 18/2155 (2023.01); G06F 18/23 (2023.01); G06F 40/169 (2020.01); G06N 3/08 (2013.01); G06V 10/62 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01);
Abstract
Methods and systems of training and using a neural network model include training a time series embedding model and a text embedding model with unsupervised clustering to translate time series and text, respectively, to a shared latent space. The time series embedding model and the text embedding model are further trained using semi-supervised clustering that samples training data pairs of time series information and associated text for annotation.