Invention Grant
- Patent Title: Statistical max pooling with deep learning
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Application No.: US15346662Application Date: 2016-11-08
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Publication No.: US10013644B2Publication Date: 2018-07-03
- Inventor: Toshihiro Takahashi
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Vazken Alexanian
- Main IPC: G06K9/66
- IPC: G06K9/66 ; G06T3/20 ; G06K9/62 ; G06K9/52

Abstract:
A method is provided for image processing. The method includes receiving an image dataset having image data for a plurality of images and a group dataset having group information for each image. The method further includes transforming the image dataset into a sparse vector by applying sparse coding and using the group information. The method also includes dividing each of dimensions of the sparse vector into multiple groups with a matrix. The matrix is generated such that the matrix takes on a higher value when samples in a same group from among the multiple groups have same non-zero dimensions above a threshold amount of time and takes on a lower value compared to the higher value when the samples in the same group lack the same non-zero coefficients above the threshold amount of time. The method additionally includes transforming the sparse vector into a summation vector using the multiple groups.
Public/Granted literature
- US20180129916A1 STATISTICAL MAX POOLING WITH DEEP LEARNING Public/Granted day:2018-05-10
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