US 12,353,513 B2
Classification of sequential data based on integrated likelihood ratio
Akinori Ebihara, Tokyo (JP)
Assigned to NEC CORPORATION, Tokyo (JP)
Filed by NEC Corporation, Tokyo (JP)
Filed on Aug. 17, 2023, as Appl. No. 18/235,204.
Application 18/235,204 is a continuation of application No. 17/439,009, previously published as PCT/JP2019/012793, filed on Mar. 26, 2019.
Prior Publication US 2023/0394118 A1, Dec. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 18/00 (2023.01); G06F 18/21 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01)
CPC G06F 18/2415 (2023.01) [G06F 18/217 (2023.01); G06F 18/2431 (2023.01)] 4 Claims
OG exemplary drawing
 
1. An information processing device comprising:
at least one memory storing instructions; and
at least one processor configured to execute the instructions to:
acquire one element included in sequential data;
calculate a likelihood ratio indicating a ratio between a probability that the one element belongs to a first class and a probability that the one element belongs to a second class, by using the likelihood ratio calculated in a past for another element acquired before the one element
read out an integrated likelihood ratio calculated in the past from the memory;
integrate the likelihood ratio with the integrated likelihood ratio calculated in the past by calculating a logarithm of the likelihood ratio using the integrated likelihood ratio calculated in the past, and calculate an updated integrated likelihood ratio indicating that the entire sequential data belongs to one of the plurality of classes;
when the updated integrated likelihood ratio does not exceed a threshold, acquire a new element to calculate the likelihood ratio and the updated integrated likelihood ratio;
compare the updated integrated likelihood ratio with the threshold; and
classify the entire sequential data to a corresponding class when the updated integrated likelihood ratio exceeds the threshold.