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:
Nov. 30, 2021

Filed:

Mar. 15, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Tianyi Chen, Redmond, WA (US);

Yixin Shi, Redmond, WA (US);

Sheng Yi, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06F 17/15 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06N 3/08 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00402 (2013.01); G06F 17/15 (2013.01); G06K 9/4628 (2013.01); G06K 9/6267 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01); G06K 2209/01 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A spatially sparse convolutional neural network (CNN) framework is introduced to that leverages high sparsity of input data to significantly reduce the computational cost of applications that employ CNNs (e.g., inking applications and others) by avoiding unnecessary floating point mathematical operations. The framework, which is compatible with parallelized operations, includes (1) a data structure for sparse tensors that both (a) reduces storage burden and (b) speeds computations; (2) a set of sparse tensor operations that accelerate convolution computations; and (3) the merging of pooling and convolutional layers. Practical applications involving handwriting recognition and/or stroke analysis demonstrate a notable reduction in storage and computational burdens.


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