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:
Aug. 06, 2019

Filed:

Sep. 19, 2017
Applicants:

Kabushiki Kaisha Toshiba, Minato-ku, Tokyo, JP;

Toshiba Digital Solutions Corporation, Kawasaki-shi, Kanagawa, JP;

Inventors:

Soichiro Ono, Tachikawa Tokyo, JP;

Hiroyuki Mizutani, Yokohama Kanagawa, JP;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/48 (2006.01); G10L 25/03 (2013.01); G10L 25/27 (2013.01); G10L 25/45 (2013.01); G06K 9/34 (2006.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G10L 15/14 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6277 (2013.01); G06K 9/342 (2013.01); G06K 9/4642 (2013.01); G06K 9/4685 (2013.01); G06K 9/481 (2013.01); G06K 9/6212 (2013.01); G06K 9/6265 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G10L 25/03 (2013.01); G10L 25/27 (2013.01); G10L 25/45 (2013.01); G06K 2209/011 (2013.01); G06K 2209/013 (2013.01); G10L 15/14 (2013.01);
Abstract

According to an embodiment, a pattern recognition device is configured to divide an input signal into a plurality of elements, convert the divided elements into feature vectors having the same dimensionality to generate a set of feature vectors, and evaluate the set of feature vectors using a recognition dictionary including models corresponding to respective classes, to output a recognition result representing a class or a set of classes to which the input signal belongs. The models each include sub-models each corresponding to one of possible division patterns in which a signal to be classified into a class corresponding to the model can be divided into a plurality of elements. A label expressing a model including a sub-model conforming to the set of feature vectors, or a set of labels expressing a set of models including sub-models conforming to the set of feature vectors is output as the recognition result.


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